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.