Job Description: Lead Agentic AI Engineer — Forward Deployed Engineer (FDE)
1.Role Overview & Mission
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), energetic 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).
2. 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 system
📌 Lead Agentic AI Engineer (Pune)
🏢 Citi
📍 Pune