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

Hi,
 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 AI-powered business solutions. The ideal candidate will work closely with customers to understand business processes, identify automation opportunities, and implement scalable AI workflows leveraging RAG and agent orchestration frameworks. 
Title: Forward Deployed Engineer (FDE)   Agentic AI & Multi-Agent Systems Location: Mountain View, CA or Manhattan, NY
 Job Description: 
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 AI-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