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AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more .
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.
Responsibilities
Architect and lead enterprise-scale GenAI and Agentic AI solutions.
Design and implement multi-agent systems, RAG architectures, AI copilots, enterprise knowledgeassistantsand AI workflow automation platforms.
Lead end-to-end AI product development from ideation to production deployment.
Establish AI engineering standards, evaluation frameworks, guardrails, and governance.
Build scalable AIplatformsleveragingcloud-native services and modernMLOps/LLMOpspractices.
Guide engineering teams through architecture, design reviews, and technical mentoring.
Work directly with clients to define AI strategy, use cases, roadmaps, and implementation plans.
Collaborate with Data Engineering, Cloud, Cyber, and Business teams to deliver integrated solutions.
Mandatory Skill sets:
1+years of technology experience with 3+ years in GenAI / LLM engineering.
Strongexpertisein LLMs and foundation models, Agentic AI and multi-agent architectures, advanced RAG frameworks, prompt engineering, AI evaluation frameworks, AI governance and Responsible AI, vectordatabasesand knowledge retrieval.
Hands-on experience withLangChain,LangGraph,AutoGen,CrewAI, Azure OpenAI, OpenAI, Anthropic Claude, Gemini, Azure, AWS, GCP,MLflow, Databricks, Fabric, and Kubernetes.
Strong Python and software engineering background.
Experience building AI Copilots and enterprise AI platforms.
Preferred skill sets:
Experience leading AI engineering teams.
Exposure toAI product management and solution architecture.
Experience with multimodal AI, document intelligence, and enterprise search.
Relevant certifications in Azure AI, AWS AI/ML, Google AI, OpenAI, Anthropic, or equivalent.
Experience
2+yearsoverall experience.
Proven record of delivering enterprise AI, GenAI, or Agentic AI programs.
Consulting or client-facing experience preferred.
Educational Qualification
B.E. / B.Tech. / M.E. /M.Tech. / MS in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Mathematics, Statistics, or related disciplines.
Strong preference for IITs, IISc, IIITs, BITS, NITs, top global universities, and Tier-1 engineering institutes.
Years of experiencerequired:
4+yr
Education qualification:
BE/Btech/MCA/MBA
Education
Degrees/Field of Study required: Bachelor of TechnologyDegrees/Field of Study preferred:Certifications
Required Skills
Generative AIOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Geopolitical Forecasting, Geopolitical Risk Analysis, Global Macro, Inclusion + 19 moreDesired Languages
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
September 3, 2026Are you ready to make a difference Want to unlock new value by applying your unique perspective and talents You can grow exponentially at PwC. Here, you canuncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'llhelp you grow your skillsthrough challenging, meaningful work so you can go further.
Job ID: 153163239
Skills:
business case development , continuous process improvement , Database Management System Dbms, Data Science, Data Quality, Data Pipeline, Data Visualization, Business Intelligence Development Studio, Generative AI, Business Data Analytics, Business Intelligence and Reporting Tools BIRT, Geopolitical Risk Analysis, Data Analysis and Interpretation, Data Architecture Development, Data Collection, Applied Macroeconomics, competitive advantage, global macro, Geopolitical Forecasting
Skills:
Software Engineering, Python, AWS, Gcp, Azure, Kubernetes, multi-agent architectures, MLflow, vector databases, Claude, Azure OpenAI, LangGraph, Databricks Fabric, advanced RAG frameworks, LangChain, CrewAI, Generative AI, LLMs, AI evaluation frameworks, Anthropic, prompt engineering, AutoGen, knowledge retrieval, Agentic AI, foundation models, AI governance, Responsible AI, OpenAI, Gemini