WorkboxIn

Gen AI Developer -Assistant Vice President

Citi · Bengaluru, Karnataka · Full-time

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.