Assistant Vice President - Data Science

12542 citicorp india private

πŸ“ bangalore karnataka india indiaπŸ• 1d agoπŸ”— workday

Job Description

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](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._
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