AI Product Engineer - Agentic AI Platforms (Financial Services)

In this role, you will work 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 - including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases-while operating across the full Agentic SDLC., We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. 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)

• Implement CI/CD pipelines for agent code, prompts, and policies.

• Integrate GenAI agents with client systems via APIs, workflow engines, event streams, and data platforms.

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.

P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role.

This position comes with competitive compensation and benefits package: * 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
• Retirement Benefits
• Paid Time Off
• Training & Development
• *Note: Benefits differ based on employee level

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.