Assistant Vice President - Data Science
12542 citicorp india private
π bangalore karnataka india indiaπ 1d agoπ workday
Job Description
Job Overview
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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
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**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
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* **Experience:** 8β10 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.
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* **Certifications:** Advanced certifications in Gen AI , Agentic AI, cloud architecture, Kubernetes, or machine learning are a strong plus.
Education
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* Bachelor's/University degree in Computer Science or a related field; Master's degree is highly preferred.
609912
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**Job Family Group:**
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Decision Management
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**Job Family:**
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Specialized Analytics (Data Science/Computational Statistics)
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**Time Type:**
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Full time
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**Most Relevant Skills**
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Please see the requirements listed above.
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**Other Relevant Skills**
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For complementary skills, please see above and/or contact the recruiter.
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_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._
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