Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Role Overview We are seeking an AI-first Lead AI Engineer to define, architect, and deliver enterprise-scale AI solutions for Investment, Corporate, and Commercial Banking. This role combines deep hands-on technical leadership with architectural ownership, driving the adoption of LLMs, agentic workflows, and generative AI platforms to improve efficiency, automation, simplification, and risk reduction. The Lead AI Engineer will shape both technical delivery and AI-first engineering culture, partnering closely with multiple technology and business teams. Key Responsibilities End-to-End AI Leadership: Lead the design, hands-on implementation, and deployment of scalable agentic AI and generative AI solutions for high-impact business use cases. Agentic Architecture: Architect advanced agent-based systems (perception, reasoning, planning, execution), integrating multiple LLM providers (OpenAI, Anthropic, Google). Full-Stack AI Engineering: Build and deliver production-grade, full-stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot). Rapid Value Delivery: Champion MVP-driven delivery, rapid iteration, hypothesis testing, and experimentation (A/B testing) to achieve fast time-to-value. Evaluation solid experience with JavaScript/TypeScript (Angular, Node.js). - AI/ML Expertise: Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision-making under uncertainty, multi-agent systems). Extensive hands-on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK). Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity). Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries. Proven ability to design and expose robust, scalable APIs for AI services. - Engineering Excellence: Deep expertise in software engineering best practices, including system design, CI/CD, testing strategies, resiliency, security, and operational stability for AI-driven platforms. - Architecture
Lead Applied AI Engineer - Banking Technology, Senior Vice President - Citi employer: Citi
Citi is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Equities Technology team. Employees benefit from cutting-edge technology, opportunities for professional growth, and a culture that values diversity and inclusion. With a focus on high-performance analytics and real-time data solutions, Citi empowers its engineers to make impactful contributions while enjoying a supportive atmosphere in a globally recognized financial institution.
