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:
- Own end-to-end delivery of AI based solutions: roadmap, milestones, dependency management, delivery governance across 1-2+ pods
- solution planning based on architecture: create delivery plans that reflect how components integrate (data ingestion, vectorization, retrieval, model endpoints, orchestration, UI/API,monitoring)
- Stakeholder Leadership: represent the team in architecture reviews, governance and senior stakeholder updates, provide crisp reporting and decision options.
- Delivery excellence: manage risks, NFRs (latency, resilience, security), release planning, production readiness, incident learnings
- 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)
- RAG delivery Leadership
- Chunking strategies, embedding model selection, indexing, retrieval patterns, reranking, citation/attribution, freshness updates
- work with teams on relevance evaluation and hallucination reduction patterns
- Guardrails and controls
- Define Guardrails for data usage, sensitive data handling, access controls, content safety, prompt/response filtering, and human-in-the-loop where required
- Drive policies/standards for model usage, tool access, logging, monitoring, and approval gates
**Must have experience and capabilities:**
- 8-10+ years in technical delivery / engineering-led programme delivery
- Proven delivery of multiple AI use cases into production (not only POCs)
- Hands-on technical comfort: able to work with engineers on design decisions, challenge approaches, and translate requirements into implementable epics/stories
- strong understanding of
- ML Lifecycle (data prep, training/validation, bias considerations, evaluation, deployment, monitoring drift)
- GenAI Lifecycle (model selection, orchestration, prompt strategies at a high level, evaluation, safety)
- RAG Patterns (vector stores, embeddings, retrieval, reranking, grounding, citations)
- Working knowledge of cloud architecture and CI/CD for AI systems (MLOps/ LLMOps concepts)
- Solid grounding in data engineering concepts: data quality, data lineage, metadata, batch/stream ingestion, access controls.
**Preferred skills:**
- Experience with model risk / governance in regulated environments
- Familiarity with vector databases and search (eg: Elasticsearch/opensearch vector, Pinecone, Weaviate, pgvector - depending on bank standards)
- Ability to define and track AI KPIs: accuracy/relevance, latency, cost per request, adoption, defect leakage, incidents
**What success looks like (outcome-based)**
- AI solutions shipped with measurable business impact, not just demos
- clear, realistic plans that account for data readiness + integration complexity
- Guardrails and controls in place so solutions are safe, compliant, and supportable
- Stakeholders trust the lead to make decisions and keep delivery moving
If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
Skills Required
- 8–10+ years of experience in technical delivery or engineering-led program delivery
- Proven experience delivering multiple AI use cases into production, beyond proof-of-concept work
- Hands-on technical understanding sufficient to participate in design decisions, challenge approaches, and translate requirements into epics and user stories
- Strong understanding of the machine learning lifecycle, including data preparation, training, validation, bias, evaluation, deployment, monitoring, and drift
- Strong understanding of the Generative AI lifecycle, including model selection, orchestration, prompting, evaluation, and safety
- Strong understanding of RAG patterns, including vector stores, embeddings, retrieval, reranking, grounding, and citations
- Working knowledge of cloud architecture and CI/CD for AI systems, including MLOps and LLMOps concepts
- Solid understanding of data engineering concepts, including data quality, lineage, metadata, batch and stream ingestion, and access controls
- Experience with model risk or AI governance in regulated environments
- Familiarity with vector databases and search technologies such as Elasticsearch, OpenSearch, Pinecone, Weaviate, or pgvector
- Ability to define and track AI KPIs, including accuracy, relevance, latency, cost per request, adoption, defect leakage, and incidents
What the Team is Saying
Capco Compensation & Benefits Highlights
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Healthcare Strength — Health, dental, and vision coverage in the U.S. are characterized as strong, with good coverage and favorable costs. Mental health resources and broader wellbeing programs are also emphasized as part of a comprehensive package.
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Leave & Time Off Breadth — PTO and paid holidays are described as generous, with multiple mentions of strong vacation allowances. While client work can affect usage, the underlying entitlement is presented as solid.
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Parental & Family Support — Company materials highlight enhanced family-friendly policies, including substantial maternity and paternity leave. Flexibility and return-to-work support reinforce a family-oriented approach.
Capco Insights
What We Do
Capco, a Wipro company, is a global management and technology consultancy specializing in driving transformation in the energy and financial services industries. Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting edge ingenuity is brought to life through its award-winning Be Yourself At Work culture and diverse talent. TRUSTED ADVISORS - Our collaborative and entrepreneurial approach position us as trusted long-term partners to our clients. DEEP EXPERTISE - Clients look to us for clear guidance, proven expertise, and the support they need to set their companies up for success. DISRUPTIVE SOLUTIONS- We do not provide off -the-shelf answers to clients’ challenges. Instead, we work in close collaboration to understand the issues, and craft disruptive, bespoke solutions. ACCOUNTABILITY AND OWNERSHIP - We recognize every client has distinct needs and expectations, and we take ownership and accountability for the solutions we design, build, and deliver.
Why Work With Us
We support and encourage an inclusive culture, entrepreneurial outlook and independent thinking. Capco is not about organizational charts and rigid hierarchies – we want all employees to feel that Capco is their firm to own and run. We believe diversity powers innovation. Be Yourself At Work (#BYAW) is an integral and underlying part of our culture
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Capco Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
