Lead Generative AI Engineer - Python and LangChain

Citigroup Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Citi in Bengaluru, India seeks an AI architect to design and lead the development of scalable Generative AI solutions for Retail Bank, with a focus on Gen AI capabilities and agent-based systems.

You will mentor data scientists, evaluate architectures, ensure security/compliance, and collaborate with stakeholders to scope capabilities. This role demands strong Python and ML framework expertise and hands-on leadership.

Qualifications

• Bachelor's degree in CS, AI, Engineering, or a related field.
• Master's degree preferred in AI/ML domains.
• Experience in production-grade Gen AI/Agent-based solutions like Gen AI RAG is highly valued.

Responsibilities

• Lead analytics and development of Gen AI-based solutions for Retail Bank products.
• Architect and guide production-grade Generative AI applications and Agentic systems.
• Evaluate agentic architectures and industry practices to select optimal approaches.

Skills

Python

Gen AI

LangChain

PyTorch

TensorFlow

MLOps

Kubernetes

Agentic design

Education

Bachelor's degree

Master's degree preferred

Job description

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.

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

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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