Agentic Ai Multi Agent Workflow Engineer

Job Title: Agentic AI / Multi-Agent Workflow Engineer Forward Deployed Engineer (FDE)
Location: Hybrid Mountain View, CA, or New York, NY
Client: Amazon / AWS
Employment Type: Full-Time (FTE Only No Contractors)
Level: C2

We are seeking an experienced Agentic AI / Multi-Agent Workflow Engineer to design, build, and deploy AI-powered workflows that automate business processes. The ideal candidate will have hands-on expertise in agent orchestration frameworks, retrieval-augmented generation (RAG), tool integration, workflow design, and production-grade AI systems.

Candidates must be based in the San Francisco Bay Area or New York tri-state area and be willing to work onsite three days per week, with two days remote. Travel to Amazon customer locations may be required.

• Design and implement autonomous AI agents and multi-agent workflows.
• Build agent orchestration solutions using LangGraph, CrewAI, or comparable frameworks.
• Design tool contracts and reliable API integrations for agent execution.
• Implement RAG pipelines and retrieval engineering for accurate context injection.
• Develop observability, evaluation, security guardrails, and reliability controls for AI agents.
• Conduct discovery workshops with business and technical stakeholders.
• Analyze existing business processes and identify opportunities for AI-driven automation.
• Test, troubleshoot, evaluate, and refine agent workflows based on business requirements and user feedback.
• Collaborate with customers and engineering teams to support deployment, adoption, and continuous improvement.
• Translate business requirements into practical, production-ready AI solutions.

• Hands-on experience with agentic AI and multi-agent workflow development.
• Experience with LangGraph, CrewAI, or similar orchestration frameworks.
• Strong understanding of RAG and retrieval engineering.
• Experience with API integrations, tool calling, and workflow automation.
• Knowledge of AI observability, evaluation, security guardrails, and responsible AI.
• Strong business process analysis and stakeholder management skills.
• Experience conducting workshops and delivering customer-facing technical solutions.

• Experience in accounting and financial operations.
• Knowledge of month-end and year-end financial close processes.
• Experience deploying enterprise AI solutions in production environments.

Candidates must meet the client's accepted work authorization requirements: U.S. Citizens, Green Card holders, EAD card holders, or H-4 visa holders, subject to client verification.

Please provide an updated resume, LinkedIn profile, current location, work authorization and validity, interview availability, and confirmation of willingness to work hybrid in Mountain View or New York and travel to customer locations.