AI Forward Deployed Engineer – AI FDE

Posted 1hrs ago

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Job Description

AI engineer deploying multi-agent workflows for insurance customers through Shift Technology’s SaaS platform. Integrating, productionizing, and monitoring AI agents across claims systems.

Responsibilities:

  • Embed with strategic insurance customers to design and build high-impact applications and AI-powered workflows with Shift’s Multi-Agent solutions, from initial concept through production deployment
  • Map insurance company claims workflows, define impact metrics and guardrails, and assess data, APIs, and systems for integration readiness
  • Build and configure multi-agent workflows for carrier-specific processes and integrate them with core claims systems, data sources, and document repositories
  • Run pilots on live claims, train adjusters and operations staff to work alongside agents, and move deployments into production
  • Monitor agent accuracy and production performance; tune prompts, tools, and guardrails based on real outcomes
  • Feed learnings back into the platform to accelerate subsequent carrier deployments
  • Serve as the insurance carrier’s primary technical point of contact and build long-term customer trust

Requirements:

  • 5+ years in data/software engineering or technical deployment, writing production-grade code (C#, Python, JavaScript, SQL or comparable) with a track record of scoping and delivering complex systems in ambiguous, fast-moving environments
  • Hands-on experience building and deploying LLM-based and multi-agent systems, prompting, orchestration, memory, and production safeguards like guardrails and human-in-the-loop review
  • Strong enterprise integration experience: APIs, databases, microservices, and unstructured document processing (OCR/parsing) against complex systems like claims or subrogation platforms (Guidewire, Arb. Forum)
  • Proven ability to work embedded with a customer's IT and business teams, holding technical conversations, adapting in the room, and communicating tradeoffs clearly
  • Comfort with startup ambiguity and travel (~50%) to carrier sites for discovery, deployment, and go-live

Benefits:

  • Flexible remote and hybrid working options
  • Competitive Salary and a variable component tied to personal and company performance
  • Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
  • Generous PTO and paid holidays
  • Mental health benefits
  • 2 MAD Days per year (Make A Difference Days for paid volunteering)
  • Additional benefits may be offered by country, based on your eligibility