AI Product Engineer - Agentic AI Platforms (Financial Services)

Job Overview

Capgemini is seeking an experienced and innovative AI Product Engineer - Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC.

About the Role

This role involves working at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production-grade, governed, multi-agent systems. You will apply leading GenAI frameworks and LLM platforms while operating across the full Agentic SDLC.

Requirements

• Client Advisory & Product Vision
• 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.
• Agentic Platform & Architecture Design
• Design and implement multi-agent architectures using modern GenAI tooling, including Planner, executor, reviewer/critic, and supervisor agents.
• Tool-calling and function-calling agents, memory-enabled agents (conversation, semantic, episodic, and structured memory).
• Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow.
• Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control.
• Design agent interaction patterns such as hierarchical agents, collaborating agents, and event-driven agent workflows.
• Define standardized agent contracts, interfaces, and schemas to enable reuse and scale.
• Agentic SDLC & Engineering Delivery
• Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including: Agent design specifications and behavior contracts, Prompt, policy, and tool versioning, Simulation environments and offline evaluation, Automated testing of agent flows and guardrails, Controlled rollout, telemetry-driven optimization, and continuous learning.
• Build production-grade AI services primarily using Python, integrating: LLM providers such as Anthropic (Claude), OpenAI, and open-source models, Retrieval-Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate).
• Integrate GenAI agents with client systems via APIs, workflow engines, event streams, and data platforms.
• Implement CI/CD pipelines for agent code, prompts, and policies.
• Observability, Evaluation & Optimization
• Implement agent observability including tracing, decision logging, tool usage, and failure analysis.
• Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring.
• Design feedback loops incorporating human-in-the-loop review and reinforcement.
• Monitor cost, latency, throughput, and behavioral drift across deployed agents.
• Governance, Risk & Financial Services Compliance
• Design Agentic AI platforms aligned with Financial Services regulatory expectations, including: Auditability and traceability of agent decisions, Model and prompt explainability, Data privacy and security controls, Resilience and fail-safe mechanisms, Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures.
• Produce documentation supporting risk, compliance, internal audit, and regulator engagement.
• Team Leadership & Firm Contribution
• Provide technical leadership and mentorship to consulting delivery teams.
• Contribute to internal GenAI accelerators, agent frameworks, and reusable assets.
• Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures.
• Participate in thought leadership on Agentic SDLC, GenAI engineering, and responsible autonomy.

Benefits

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture within a globally known group
• Private Health Insurance
• Retail Benefits
• Paid Time Off
• Training & Development

Company Information

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong €22.5 billion in revenues in 2025, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.