Lead Agentic AI Engineer - FDE ( Forward Deploy Engineer)

Citi; Maharashtra; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Citi seeks a Lead Agentic AI Engineer (Forward Deployed) to work directly with business stakeholders and operations teams. The role focuses on designing, prototyping, evaluating, and deploying multi-agent architectures, agentic tooling, dynamic retrieval engines, and human-in-the-loop autonomous workflows across enterprise platforms.

The candidate will translate complex workflows into enterprise-grade AI/GenAI solutions, bridging business needs with cutting-edge AI research and engineering

Responsibilities

• AI Solutioning & Translation: Formulate and define systems scope and objectives for complex AI/GenAI projects, fostering seamless communication and translating business requirements into technical specifications for Data Scientists and ML Engineers.
• Implementation & Integration: Support the end-to-end AI implementation and system change processes—from translating BRDs to functional specifications, through model deployment, testing, and integration with existing systems.
• Customization & Scripting: Consult with business clients to determine functional specifications for AI applications, developing custom scripts, integrations, or workflows to tailor AI/GenAI products to the unique needs of the business.
• Advanced Troubleshooting: Consult with users and clients to solve complex system and model integration issues through in-depth evaluation of business processes, AI/ML systems, and industry standards, recommending tailored technical solutions.
• Feedback Loop & Product Advocacy: Act as a critical bridge between front-line business users and core AI research/engineering teams. Gather direct feedback, identify

Job description

Role Overview & Mission

Job Description: Lead Agentic AI Engineer — Forward Deployed Engineer (FDE)

As a Lead Agentic AI Engineer (Forward Deployed), you will operate at the intersection of applied GenAI engineering, autonomous multi-agent systems, and business domain problem-solving. Unlike traditional back-office research roles, a Forward Deployed Engineer (FDE) is embedded directly with business stakeholders, product leads, and operations teams to translate complex, unstructured institutional workflows into high-impact, enterprise-grade Autonomous Agent solutions.

You will spearhead the design, prototyping, evaluation, and end-to-end production deployment of multi-agent architectures, agentic tool orchestration (e.g., Model Context Protocol / MCP, tool-calling pipelines), dynamic RAG retrieval engines, and human-in-the-loop autonomous decision workflows across institutional platforms (e.g., KYC Intelligence, Funds Lifecycle, Document Processing, and Regulatory Compliance).

Key Responsibilities

Architecture & Agentic Engineering

Responsibilities

• AI Solutioning & Translation: Formulate and define systems scope and objectives for complex AI/GenAI projects, fostering seamless communication and translating business requirements into technical specifications for Data Scientists and ML Engineers.
• Implementation & Integration: Support the end-to-end AI implementation and system change processes—from translating Business Requirement Documents (BRDs) to functional specifications, through model deployment, testing, and integration with existing systems.
• Customization & Scripting: Consult with business clients to determine functional specifications for AI applications, developing custom scripts, integrations, or workflows to tailor AI/GenAI products to the unique needs of the business.
• Advanced Troubleshooting: Consult with users and clients to solve complex system and model integration issues through in-depth evaluation of business processes, AI/ML systems, and industry standards, recommending tailored technical solutions.
• Feedback Loop & Product Advocacy: Act as a critical bridge between front-line business users and core AI research/engineering teams. Gather direct feedback, identify