Technical PM- AI

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Location: Pune

Technical Delivery Lead / Tech PM - AI Solutions POD (ML + Gen AI, RAG)

Exp: 8 - 10+ years in technology delivery, including AI/ML initiatives

Role Summary:

We need a hands-on Technical Delivery Lead/Tech PM to drive delivery for an AI solutions Pod building production-grade AI capabilities (ML and Gen AI), including RAG-based solutions. The role requires someone who can plan and deliver based on component interactions (data --> embeddings/vector stores --> retrieval --> LLM orchestration --> evaluation --> deployment), set guardrails, and guide decisions on when ML/Gen AI is appropriate vs when it isnt.

This person should be trusted to represent the pod in senior forums and be able to run delivery across multiple pods/squads when needed.

Key responsibilites:

1. Own end-to-end delivery of AI based solutions: roadmap, milestones, dependency management, delivery governance across 1-2+ pods
2. solution planning based on architecture: create delivery plans that reflect how components integrate (data ingestion, vectorization, retrieval, model endpoints, orchestration, UI/API,monitoring)
3. Stakeholder Leadership: represent the team in architecture reviews, governance and senior stakeholder updates, provide crisp reporting and decision options.
4. Delivery excellence: manage risks, NFRs (latency, resilience, security), release planning, production readiness, incident learnings
5. Technical oversight of ML+Gen AI:

                        - Differentiate and select approaches: classical ML vs Gen AI vs hybrid patterns (eg: RAG + ML ranking / classification)

                         - Define where ML adds value (prediction, scoring, classification) and where Gen AI adds value (generation, summization, extraction, conversational interfaces)

1. RAG delivery Leadership

                              - Chunking strategies, embedding model selection, indexing, retrieval patterns, reranking,