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Lead AI Engineer role requiring definition, architecture, and delivery of enterprise-scale AI solutions for banking. Focus on LLMs, agentic workflows, and generative AI to improve efficiency and reduce risk. Combines hands-on technical leadership with architectural ownership and mentorship to foster an AI-first engineering culture.
Lead AI Engineer, SVP (Hybrid)
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
Qualifications
Programming: Expert‑level proficiency in Python and/or Java (Spring Boot); 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 & Data: Strong experience designing API‑first, microservices‑based, and event‑driven systems, including AI‑focused data pipelines and lifecycle management.
Platforms: Hands‑on experience with Docker and Kubernetes.
Leadership & Communication: Exceptional ability to articulate complex technical concepts, influence senior stakeholders, and lead high‑impact technical discussions.
Domain Expertise: Strong understanding of banking and regulated financial environments, with the ability to connect AI capabilities to measurable business outcomes.
Nice to Have
Advanced data science expertise (statistical modeling, experimentation).
Demonstrated experience mentoring and scaling AI‑first engineering talent in rapidly evolving toolchains.
Experience:
Education:
Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline.
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In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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