Assistant Vice President - Data Science

Job description

## **Discover your future at Citi** Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 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** # **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.*