Lead Generative AI Engineer - Python and LangChain
Citi
- Location
- Hybrid (BRIGADE MAGNUM, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
About the Role
Citi is seeking a Lead Generative AI Engineer to architect and develop scalable, production-grade Generative AI and Agentic solutions for its Retail Bank business. This role focuses on driving key AI initiatives while ensuring strict compliance, security, and performance standards.
Skills
Full job details
This is a role responsible for architecting, designing, and leading the development of innovative and scalable solutions for Retail Bank business with a close focus on generative AI capability based solutions. The overall objective is to leverage technical expertise and skills to drive the execution of key AI initiatives.
Responsibilities:
- Lead analytics to deepen core areas for Retail Bank business through different analytical solutions with a focus on leveraging Generative AI capabilities to enhance productivity and build highly customized solutions.
- Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.
- Evaluate different agentic architectures and evolving industry practices to select the optimal approach for business problems.
- Design and implement agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options.
- Ensure solutions meet stringent compliance, security, and performance management standards.
- Collaborate with and advise business stakeholders on the scope and capabilities of Generative AI solutions.
- Mentor other data scientists in the team, training them in advanced Agentic solution development and software engineering best practices.
Qualifications:
- 4-7 years of overall experience with preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
- Mastery of Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes).
- Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
- Strong experience in architecting and designing highly scalable, available, and performant technology solutions.
- Deep expertise in Agent training, performance measurement, and feedback processes.
- In-depth knowledge of compliance, security, and performance management in a production environment.
Education:
- Bachelor's/University degree and relevant experience; Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field.
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
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.------------------------------------------------------
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