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Lead AI Engineer for Banking Technology
JERSEY CITY · US
$177K–$265K
Full-time
STAFF
About the Role
Lead the design and delivery of enterprise-scale generative AI and agentic solutions for Citi's Investment, Corporate, and Commercial Banking divisions. Architect agent-based systems integrating multiple LLM providers and drive adoption of AI coding tools, RAG, and MCP-based workflows. Provide hands-on technical leadership and mentorship while ensuring AI solutions align with banking domain requirements and risk controls.
Responsibilities
- Lead design, hands-on implementation, and deployment of scalable agentic AI and generative AI solutions for high-impact business use cases.
- Architect advanced agent-based systems (perception, reasoning, planning, execution) integrating multiple LLM providers (OpenAI, Anthropic, Google).
- Build production-grade, full-stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot).
- Champion MVP-driven delivery, rapid iteration, hypothesis testing, and experimentation (A/B testing) to achieve fast time-to-value.
- Define rigorous evaluation frameworks and metrics for AI and agent performance, ensuring continuous optimization and alignment with business goals.
- Evaluate and integrate emerging AI technologies, particularly agent-based and autonomous AI systems, while acting as a thought leader and coach.
- Provide front-line technical leadership, guide architectural decisions, and mentor engineers across AI, data, and application teams.
- Ensure AI solutions are grounded in deep banking domain understanding and clearly articulate business and risk impact.
Citi
New York · US · 126277+ employees
Citi is a global bank that provides financial services enabling growth and economic progress. Its core activities include safeguarding assets, lending money, making payments, and accessing capital markets on behalf of clients.
