Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale.
Work at the intersection of client advisory, AI product engineering, and delivery execution.
Apply leading GenAI frameworks and LLM platforms.
Build production‑grade AI services primarily using Python, integrating LLM providers and retrieval-augmented generation.

Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology.
Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic.
Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions.
Support executive conversations around GenAI platform strategy, operating models, vendor selection, and scale‑out approaches.
Design and implement multi‑agent architectures using modern GenAI tooling.
Design agent interaction patterns and define standardized agent contracts and interfaces.
Own delivery across the full Software Development Lifecycle (SDLC).
Implement CI/CD pipelines for agent code, prompts, and policies.
Monitor cost, latency, throughput, and behavioral drift across deployed agents.
Design Agentic AI platforms aligned with Financial Services regulatory expectations.

AI Product Engineer – Agentic AI Platforms, Financial Services

Key skills