AI Product Engineer – Agentic AI Platforms, Financial Services

🕒 March 26

🏢🏡 New York City – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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 • Retirement Benefits • Paid Time Off • Training & Development