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.