## Gen AI Developer -Assistant Vice PresidentApplylocations: Bangalore Karnataka Indiatime type: Full timeposted on: Posted Todayjob requisition id: 26972521# 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 OverviewThe 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.