Gen AI Developer -Assistant Vice President

C12: Lead AI Engineer

Job Title: Lead AI Engineer

Job Code: TBD

Job Family Group: Decision Management

Job Family: Specialized Analytics (Data Science/Computational Statistics)

Citi Job Level: C12

Exemption Status: EXEMPT

Manager Level: INDIV. CONTRIB

Job Overview The Lead AI Engineer is a senior individual contributor and the primary technical owner for complex AI projects. This role focuses on the hands-on architecture and implementation of cutting-edge AI solutions, ensuring technical excellence and alignment with product goals.

Responsibilities Primary Responsibilities (60%):

• Serve as the technical anchor for the development of enterprise-grade, AI-powered solutions, guiding the implementation from a technical perspective.
• Lead the hands-on implementation of novel AI solutions, particularly in autonomous agents and advanced agentic architectures (e.g., using Google ADK).
• Architect and implement advanced frameworks for AgentOps and agentic AI governance, including evaluation suites, post-production observability, and traceability mechanisms.

Secondary Responsibilities (30%):

• Partner with product leadership to shape the AI product strategy and technical roadmap.
• Technically lead the reimagination of core business processes by designing and implementing novel AI-driven solutions.
• Collaborate cross-functionally with Technology, Model Risk Management (MRM), Legal, Compliance, and Business teams to ensure solutions are robust, compliant, and aligned with enterprise goals.

Additional Responsibilities (10%):

• Evangelize AI best practices across the organization.
• Lead the evaluation and integration of emerging AI technologies.

Leadership & Collaboration / Dual-Track Path:

• Technical Leadership (Individual Contributor Track): Focus on solving the most challenging technical problems, pioneering new AI capabilities, and acting as a subject matter expert.
• People Leadership (Manager Track): Guide and grow a team of AI engineers, balancing hands-on technical contribution with coaching, performance management, and strategic project oversight.

Qualifications

• Experience: 8–10 years of professional experience in software engineering, with a significant focus on building and deploying large-scale AI/ML systems.
• Knowledge and Skills (Required): + Expertise in Python. + Proven experience architecting and building complex systems using agentic frameworks (e.g., Google ADK, LangChain, AutoGen). + Deep expertise in context optimization, knowledge storage (vector databases, knowledge graphs), and Retrieval-Augmented Generation (RAG) at scale. + Strong architectural skills in designing complex, distributed systems and scalable backend APIs. + Expertise in defining and implementing evaluation strategies using platforms like LangFuse.
• Knowledge and Skills (Preferred): + Experience building control and sandboxing systems for AI research. + Contributions to open-source AI or cloud-native projects. + Experience in the financial services industry. + Deep hands-on knowledge of Kubernetes. + Extensive experience with deep learning frameworks and MLOps principles. ` + Certifications: Advanced certifications in Gen AI , Agentic AI, cloud architecture, Kubernetes, or machine learning are a strong plus. Education + Bachelor's/University degree in Computer Science or a related field; Master's degree is highly preferred. 609912 ------------------------------------------------------

Job Family Group: Decision Management ------------------------------------------------------

Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------

Time Type: Full time ------------------------------------------------------

Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.