Forward Deployed Engineer (FDE) - Agentic AI & Multi-Agent Systems

Job Description

We are seeking a Forward Deployed Engineer (FDE) with strong expertise in Agentic AI, Multi-Agent Systems, Java, and Python to design, deploy, and optimize Al-powered business solutions. The ideal candidate will work closely with customers to understand business processes, identify automation opportunities, and implement scalable Al workflows leveraging RAG and agent orchestration frameworks.

Required Skills

Strong programming experience in Python and Java

Hands-on experience with Agentic AI / Multi-Agent Systems

Expertise with agent orchestration frameworks such as LangGraph, CrewAI, or similar workflow platforms Experience building autonomous workflows and AI agents with reliable API integrations

Strong understanding of Retrieval-Augmented Generation (RAG) and retrieval engineering Experience implementing AI observability, monitoring, security guardrails, and governance controls Ability to troubleshoot, test, and optimize AI agents based on business requirements and user feedback Experience conducting workshops with business and technical stakeholders to identify AI automation opportunities

Strong knowledge of workflow automation, process transformation, and AI solution deployment Preferred Qualifications

Experience in Accounting, Finance, or Close Management processes

Understanding of Month-End Close (MEC) and Year-End Close (YEC) business workflows

Customer-facing consulting or solution engineering experience

Experience deploying AI solutions in enterprise environments

Key Responsibilities

Design and implement Agentic AI and multi-agent workflows for enterprise customers Build scalable AI solutions using RAG, LLMS, and orchestration frameworks

Lead discovery sessions and translate business processes into Al-driven solutions

Integrate AI agents with enterprise systems and APIs

Establish monitoring, security, and governance controls for AI applications Collaborate with customer stakeholders to drive adoption and business value

Continuously refine AI agents and workflows based on feedback and performance metrics