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.

Responsibilities 

• Architect and lead enterprise-scale GenAI and Agentic AI solutions. 

• Design and implement multi-agent systems, RAG architectures, AI copilots, enterprise knowledge assistants and 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 AI platforms leveraging cloud-native services and modern MLOps / LLMOps practices. 

• 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. 

• Strong expertise in LLMs and foundation models, Agentic AI and multi-agent architectures, advanced RAG frameworks, prompt engineering, AI evaluation frameworks, AI governance and Responsible AI, vector databases and knowledge retrieval. 

• Hands-on experience with LangChain, 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 to AI 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+ years overall 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 experience required: 

4+ yr

Education qualification: 

BE/Btech/MCA/MBA