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Pune · Full time

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary: We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. Responsibilities: Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness. Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Integrate with graph-based memory and tool-using agents to enhance LLM capabilities. Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents). Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.). Write clean, efficient, and scalable code in Python (or other languages as needed). Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems. Ensure system scalability, reliability, and maintainability through strong software engineering practices. Mandatory skill sets: 3–7 years of total experience in AI/ML or software engineering. Minimum 2 years of hands-on experience in building and deploying GenAI systems. Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc. Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). Solid understanding of software engineering best practices, including version control, testing, and CI/CD. Experience in working with graph-based memory and LLM tool use patterns. Preferred skill sets: Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. Prior contributions to open-source GenAI or agent frameworks. Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services. Background in optimization, evaluation, and prompt engineering for LLM systems. Experience in deploying AI systems in production environments and maintaining performance at scale Years of experience required: 3+ to 7 Location : Pan India Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Agentic AI, Generative AI Agents Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date July 26, 2026

Bengaluru Millenia · Full time

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary: We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. Responsibilities: Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness. Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Integrate with graph-based memory and tool-using agents to enhance LLM capabilities. Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents). Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.). Write clean, efficient, and scalable code in Python (or other languages as needed). Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems. Ensure system scalability, reliability, and maintainability through strong software engineering practices. Mandatory skill sets: 3–7 years of total experience in AI/ML or software engineering. Minimum 2 years of hands-on experience in building and deploying GenAI systems. Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc. Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). Solid understanding of software engineering best practices, including version control, testing, and CI/CD. Experience in working with graph-based memory and LLM tool use patterns. Preferred skill sets: Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. Prior contributions to open-source GenAI or agent frameworks. Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services. Background in optimization, evaluation, and prompt engineering for LLM systems. Experience in deploying AI systems in production environments and maintaining performance at scale Years of experience required: 3+ to 7 Location : Pan India Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Agentic AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM) {+ 34 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date September 15, 2026

Bengaluru Millenia · Full time

This role involves designing, developing, and deploying advanced AI solutions, focusing on Generative AI (GenAI) technologies like LLMs and RAG. The position requires 3-7 years of experience, with at least 2 years specifically in GenAI, and strong programming skills in Python and AI testing methodologies.

Cloudflare

Hybrid

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX - Hybrid About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership. What you'll do Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration. Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations. Build high-throughput, low-latency application backends and orchestration layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations. Act as a technical anchor for the Data Science team – enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs. Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).\ Must-Have Skills Extensive experience as a Senior or Lead ML Engineer, with a proven track record of architecting and operating production-grade ML platforms, services and distributed backends. Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) alongside deep experience in Generative AI patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and agentic AI systems). Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued. A builder's mindset. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of system reliability, costs, and model performance. Nice-to-Have Skills Technical Leadership & Systems Architecture 3+ years of dedicated ML Engineering experience within a large-scale, enterprise environment (handling petabyte-scale data and working across globally distributed teams). Proven ability to architect, scale, and secure reliable, highly observable distributed systems, with a track record of leveling up platform foundations. Experience mentoring engineers, leading by example through high-quality code and rigorous design reviews, and fostering a culture of technical excellence. Strong problem-solving skills with a demonstrated ability to independently drive complex projects through ambiguous spaces and collaborate cross-functionally with data engineers, full-stack teams, and analysts. AI, LLMOps & Agentic Engineering Hands-on proficiency in building production-grade GenAI applications and multi-agent systems using advanced LLM frameworks like LangGraph, LangChain, or Autogen. Deep understanding of agent harness primitives, state management, memory architectures, and tool-calling loop mechanics. Experience establishing LLMOps foundations, including automated prompt tracking, LLM evaluation pipelines (e.g., Ragas, TruLens), vector database optimization, context/token management, and real-time guardrailing/moderation layers. Deep experience in scientific computing using Python (Scikit-Learn, PyTorch, or TensorFlow) and deploying traditional systems for end-to-end training, batch/real-time inference, and model observability. Infrastructure, Cloud & Data Platforms Strong experience with Docker and Kubernetes for containerization and orchestration, alongside Infrastructure-as-Code tools like Terraform and public cloud ecosystems (GCP, AWS, or Azure). Hands-on experience with modern MLOps platform tools (e.g., Airflow, Argo Workflows, ArgoCD) and data systems including BigQuery, Postgres, and robust ETL/ELT practices. Experience with full-stack web technologies and serverless/edge environments (FastAPI, TypeScript/JavaScript, Cloudflare Workers), with the agility to contribute across a multi-language stack. Strong foundation in continuous integration/continuous deployment (CI/CD), testing frameworks (Pytest), and robust version control practices. Education & Communication M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Exceptional written and verbal communication skills, with the ability to translate complex technical architectures into clear concepts for both engineering peers and business stakeholders. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Bengaluru Millenia · Full time

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary: We are looking for an experienced Agentic Pipeline Engineer to design, develop, and operationalize AI-driven pipelines and agentic workflows. The ideal candidate will have strong hands-on experience in Python, Generative AI, LLM applications, agent frameworks, APIs, and cloud-based AI solutions , along with a good understanding of production-grade software engineering practices. The role involves building intelligent multi-step workflows where AI agents can reason, interact with enterprise systems, use tools/APIs, retrieve relevant information, and execute tasks reliably. Responsibilities: Design and develop Agentic AI pipelines and workflows using Large Language Models (LLMs). Build single-agent and multi-agent solutions for complex business use cases. Develop reusable components for tool calling, orchestration, prompt management, memory, routing, and workflow execution . Implement RAG (Retrieval-Augmented Generation) pipelines integrating enterprise data sources with LLM applications. Integrate agents with REST APIs, databases, vector stores, enterprise applications, and external tools . Build scalable backend services and APIs using Python and frameworks such as FastAPI . Work with agentic frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent frameworks . Develop and optimize embedding, retrieval, chunking, reranking, and vector-search pipelines . Implement appropriate guardrails, validation, error handling, observability, logging, and evaluation for GenAI applications. Optimize agent workflows for accuracy, latency, reliability, and cost . Containerize and deploy AI services using Docker and CI/CD practices. Collaborate with architects, engineering teams, data scientists, and business stakeholders to translate use cases into production-ready Agentic AI solutions. Perform unit testing, integration testing, troubleshooting, and production support for AI pipelines. Mandatory skill sets: 3–7 years of software engineering / AI engineering experience. Strong programming experience in Python . Hands-on understanding of Generative AI and Large Language Models . Experience developing LLM-based applications and agentic workflows . Strong understanding of RAG architecture and vector-based retrieval. Experience with Vector Databases / Search , such as FAISS, Pinecone, Weaviate, Chroma, Azure AI Search, or equivalent. Experience integrating REST APIs , databases, and enterprise applications. Knowledge of prompt engineering, tool/function calling, structured outputs, embeddings, and context management . Preferred skill sets: Knowledge of frameworks such as: LangGraph Microsoft Semantic Kernel AutoGen or similar agent frameworks Experience with Git, Docker, CI/CD, and API development . Exposure to at least one major cloud platform such as Azure, AWS, or GCP . Years of experience required: 3+ to 7 Location : Pan India Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Agentic AI, Generative AI Agents Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date July 26, 2026

Bengaluru Millenia · Full time

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary: We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. Responsibilities: Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness. Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Integrate with graph-based memory and tool-using agents to enhance LLM capabilities. Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents). Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.). Write clean, efficient, and scalable code in Python (or other languages as needed). Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems. Ensure system scalability, reliability, and maintainability through strong software engineering practices. Mandatory skill sets: 3–7 years of total experience in AI/ML or software engineering. Minimum 2 years of hands-on experience in building and deploying GenAI systems. Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc. Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). Solid understanding of software engineering best practices, including version control, testing, and CI/CD. Experience in working with graph-based memory and LLM tool use patterns. Preferred skill sets: Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. Prior contributions to open-source GenAI or agent frameworks. Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services. Background in optimization, evaluation, and prompt engineering for LLM systems. Experience in deploying AI systems in production environments and maintaining performance at scale Years of experience required: 3+ to 7 Location : Pan India Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI, Generative AI Agents Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date August 7, 2026

San Jose, Costa Rica · Full time

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As Engagement Lead, you will lead two data science sub-streams supporting commercial teams: Predictive AI & Optimization and Causal AI & Experimentation . You will own the technical direction and delivery of both. You will work directly with product owners to turn business questions into predictive, causal and optimization solutions, and you will grow a team of about 7 data scientists. This is a hands-on leadership role. You will review models and code, unblock the team quickly, and be accountable for the quality and business impact of everything the two sub-streams deliver. Key Responsibilities Lead, mentor and develop Senior Data Scientists and Data Scientists across both sub-streams. Build technical depth, modular coding standards and agile delivery habits. Lead the design, calibration and validation of Bayesian and frequentist Marketing Mix Models (MMM). Models should account for adstock, saturation, seasonality and hierarchical or geo-level effects. Oversee multi-touch attribution (MTA) and brand performance analytics. Translate the results into practical recommendations on channel mix and spend. Design and govern experiments, including A/B tests, quasi-experimental designs (e.g., difference-in-differences, synthetic control) and econometric analysis, to measure the true impact of commercial initiatives. Oversee the design and delivery of predictive models for commercial use cases. This includes classification on highly imbalanced data, anomaly detection, segmentation and time-series forecasting. Turn predictions into decisions through optimization: budget and resource allocation, response curves, ROI/mROI analysis and scenario-planning simulations. Rapid Prototyping & Business Value: Quickly design and build proofs of concept, prototypes and business case studies, including GenAI- and agent-based solutions where they add value , to show tangible impact. Set the methodological standards for each sub-stream. Decide which approaches are suitable for a given problem, and explain why others are not. Stay close to the work: review model designs, validation results and critical code, and resolve technical blockers quickly. Present findings and trade-offs clearly to both technical and non-technical audiences, so that complex model results lead to confident decisions. Work with global cross-functional teams in an agile environment, including demos, reviews and retrospectives to keep improving deliverables. Ensure reproducibility, documentation and peer review across all models delivered. Who You Are You are an accomplished data science leader with deep expertise in both predictive modelling and causal inference. You know when a problem needs a prediction, when it needs a causal estimate, and when it needs an optimization layer on top. You lead by example, stay close to the code, and can explain complex model outputs, from an MMM posterior to a SHAP plot, in clear business terms that product owners can act on. Education & Certification: Educational Background: Bachelor's or Master's degree in Data Science, Statistics, Economics, Artificial Intelligence and Machine Learning, Computer Science, Business Analytics or another quantitative field. Certifications: Recognized professional certifications in Data Science, Machine Learning, Cloud AI Platforms or Advanced Analytics are an advantage. Qualifications & Technical Skillset: 10+ years of experience in Data Science/Analytics, including at least 3 years leading data science teams and mentoring data scientists. You should have a proven track record of measurable business impact through predictive modelling and causal inference or experimentation, ideally in commercial or marketing analytics. Strong hands-on expertise in predictive modelling, including classification on skewed data with imbalance handling (e.g., SMOTE, class weighting), ensemble and tree-based models (LightGBM, XGBoost, CatBoost), linear models, anomaly detection, unsupervised methods (clustering, segmentation) and time-series forecasting (e.g., ARIMA, Prophet). Rigorous model validation and explainability, including SHAP and precision-recall and calibration methods for imbalanced problems. Deep expertise in causal inference and experimentation, including experimental design, A/B testing, quasi-experimental methods and econometrics. Hands-on experience building Marketing Mix Models and multi-touch attribution models (regression-based, time-decay, Markov-chain and Shapley-value methods), using frameworks such as Google Meridian, PyMC-Marketing, Meta Robyn, LightweightMMM, Orbit, PyMC or Stan. This includes model diagnostics (convergence, priors, posterior predictive checks) and turning outputs into budget optimization, response curves and scenario simulations. Expert proficiency in Python and SQL, with strong experience in Spark (distributed computing), Airflow, Git, AWS, and Tableau or an equivalent tool for visualization and storytelling. Exposure to and recent experience with GenAI tools and LLMs (e.g., OpenAI, Claude, Gemini, DeepSeek) and coding assistants such as GitHub Copilot, plus experience of building AI agents using frameworks such as LangChain, LangGraph, AutoGen or CrewAI. This position does not offer relocation benefits. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

Bengaluru Millenia · Full time

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary: We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. Responsibilities: Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness. Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Integrate with graph-based memory and tool-using agents to enhance LLM capabilities. Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents). Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.). Write clean, efficient, and scalable code in Python (or other languages as needed). Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems. Ensure system scalability, reliability, and maintainability through strong software engineering practices. Mandatory skill sets: 3–7 years of total experience in AI/ML or software engineering. Minimum 2 years of hands-on experience in building and deploying GenAI systems. Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc. Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). Solid understanding of software engineering best practices, including version control, testing, and CI/CD. Experience in working with graph-based memory and LLM tool use patterns. Preferred skill sets: Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. Prior contributions to open-source GenAI or agent frameworks. Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services. Background in optimization, evaluation, and prompt engineering for LLM systems. Experience in deploying AI systems in production environments and maintaining performance at scale Years of experience required: 3+ to 7 Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills OpenAI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date September 18, 2026

Bengaluru Millenia · Full time

This role involves designing and implementing autonomous agents using frameworks like LangChain and Autogen. Responsibilities include developing RAG systems, creating evaluation frameworks, and implementing monitoring systems for agent behavior. The position requires advanced Python programming, experience with vector databases, and a solid understanding of LLM safety principles.

Bengaluru Millenia · Full time

This role involves designing, developing, and operationalizing AI-driven pipelines and agentic workflows. The engineer will build multi-agent solutions, integrate with enterprise systems using APIs and databases, and optimize AI applications for production. Experience with Python, Generative AI, LLMs, and agent frameworks like LangGraph is required.

Bengaluru Millenia · Full time

This role involves designing and implementing autonomous agents using frameworks like LangChain and Crew. ai, and developing Retrieval Augmented Generation (RAG) systems. The position requires advanced Python programming, experience with vector databases, and a solid understanding of LLM safety principles.

Bengaluru Millenia · Full time

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary: We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. Responsibilities: Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness. Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Integrate with graph-based memory and tool-using agents to enhance LLM capabilities. Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents). Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.). Write clean, efficient, and scalable code in Python (or other languages as needed). Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems. Ensure system scalability, reliability, and maintainability through strong software engineering practices. Mandatory skill sets: 3–7 years of total experience in AI/ML or software engineering. Minimum 2 years of hands-on experience in building and deploying GenAI systems. Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc. Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). Solid understanding of software engineering best practices, including version control, testing, and CI/CD. Experience in working with graph-based memory and LLM tool use patterns. Preferred skill sets: Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. Prior contributions to open-source GenAI or agent frameworks. Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services. Background in optimization, evaluation, and prompt engineering for LLM systems. Experience in deploying AI systems in production environments and maintaining performance at scale Years of experience required: 3+ to 7 Location : Pan India Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Agentic AI, Generative AI Agents, Oracle Cloud Infrastructure (OCI) Generative AI Agents Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date August 7, 2026

Roma | Assago, Via del Mulino 11a · Full time

Role Description You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. This role sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme . Key Responsibilities Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling ( LangSmith , Braintrust, or equivalent), cost and safety monitoring Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the B1 and B3 National Collective Bargaining Agreement applies, with one of the following pay grades and corresponding gross annual salary range: B1: 28,500 and 45,300 EUR B3: 32,000 and 54,900 EUR #LI-EU #LI-MP ​ Basic Qualifications Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph , CrewAI , AutoGen , or equivalent — at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt versioning, and production observability Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Dichiarazione di pari opportunità di lavoro Crediamo che nessuno debba essere discriminato a causa delle proprie differenze. Tutte le decisioni relative all'assunzione saranno prese senza riguardo a età, razza, credo, colore della pelle, religione, sesso, origine nazionale, ascendenza, stato di disabilità, stato di veterano militare, orientamento sessuale, identità o espressione di genere, informazioni genetiche, stato civile, stato di cittadinanza o qualsiasi altra base tutelata dalla legge applicabile. La nostra ricca diversità ci rende più innovativi, più competitivi e più creativi, il che ci aiuta a servire meglio i nostri clienti e le nostre comunità.

Bengaluru Millenia · Full time

This role involves designing, building, and deploying intelligent autonomous agent systems using Python. The Senior Associate will architect multi-agent workflows, integrate LLMs with external tools and data, and develop orchestration and reasoning layers for AI pipelines. Responsibilities include agent design, LLM integration, backend service development, tool integration, and implementing safety and observability measures.

Bengaluru Millenia · Full time

INSenior Associate GenAI and Agentic AI Engineer GCC Advisory_ Bangalore at PricewaterhouseCoopers Auditing Company in Bengaluru Millenia focuses on They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.

Bengaluru Millenia · Full time

This role involves architecting and leading enterprise-scale Generative AI and Agentic AI solutions, including designing multi-agent systems and AI copilots. The position requires 5-8 years of technology experience with at least 3 years in GenAI/LLM engineering, focusing on developing and deploying AI products and platforms.

Remote - Spain

This Machine Learning Engineer role focuses on designing and building AI-powered features for customer conversations, extracting meaning from voice and messaging data. Responsibilities include developing end-to-end ML pipelines, ensuring model performance and scalability, and collaborating on technical discussions. The position requires a Bachelor's degree or equivalent experience, 2+ years in ML engineering, proficiency in Python and ML frameworks, and experience deploying ML services.

Athens · Full time

Operations AI Engineers at PwC Strategy& do Brasil Consultoria Empresarial Ltda in Athens focuses on & Summary Description We are a team that turns complexity into opportunity. We look for the curious and collaborative – ready to commit to growth, think boldly and make an impact from day one.

Remote-USA · Full time

Principal Machine Learning Engineer (Memory & Context) at ZINC Zillow in Remote-USA focuses on About the team The Agentic AI team at Zillow is at the forefront of transforming the real estate. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates personalized user insights with Zillow's knowledge.

IN - Bengaluru, India · Full time

Sr. Software Engineer (3 - 6 years of experience in Oracle EBS, R12 development) at Visa U. S. A in IN - Bengaluru, India focuses on Join Visa and do work that matters – to you, to your community, and to the world. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.