**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 current 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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Assistant Vice President - Data Science (Bengaluru)
🏢 Citigroup
📍 Bengaluru