AI Forward Deployed Engineer

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/ $75 - $100 hour

INFO

Salary
SALARY:

$75 - $100

Location

LOCATION

Job Type
JOB TYPE

Contract

Forward Deployed Engineer (Agentic AI and Data)

Contract

About Harnham
Harnham is a specialist data and AI recruitment firm. We help organisations hire contractors who can deliver hands-on impact quickly across AI, engineering, and modern data platforms.

About the client
Our client is an established organisation that has accelerated its Agentic AI work over the last 6 to 12 months. They have proven feasibility with an initial proof of concept and are now moving into delivery, hardening, and scaling across multiple internal projects.

Role Details

  • Role: Forward Deployed Engineer (Agentic AI and Data)
  • Location: Remote, anywhere in the United States
  • Pay range: 75 to 100 dollars per hour
  • Length: 12 month contract (extensions likely)
  • Utilisation: 40 hours per week
  • Start: ASAP

The role

This is a hands-on forward deployed role focused on accelerating delivery of Agentic AI systems that connect directly to the data platform. The main goal is to build production-ready agent workflows that improve the AI software delivery lifecycle and to develop semantic models that make AI outputs reliable and usable across the business. You will work in a fast-moving environment where engineers partner closely with coding assistants, so strong fundamentals and debugging ability are essential. The role is stakeholder-facing and needs clear communication alongside strong engineering execution.

Key responsibilities

  • Build agentic workflows for the AI SDLC that review requirements, identify gaps, and produce a deployment risk score before changes go live.
  • Design and implement guardrails and evaluation checks so agents behave reliably across different change scenarios.
  • Develop semantic models and semantic layers that connect business meaning to data and AI outputs.
  • Partner with data and analytics teams to connect AI workflows to production data pipelines and datasets.
  • Write and review production Python and SQL, and debug code generated with AI coding assistants.
  • Work directly with stakeholders to clarify requirements, define success criteria, and communicate tradeoffs clearly.

Requirements: must have

  • Experience building Agentic AI applications end to end, including core lifecycle components (retrieval, tools, planning, memory or state, and guardrails).
  • Hands-on experience with at least one AI framework used for agent workflows (for example LangChain) and cloud model platforms (for example Bedrock or similar).
  • Strong Python and SQL skills, with the ability to debug and reason about code behaviour.
  • Strong data engineering background, with experience connecting AI work to real data systems and pipelines.
  • Comfortable working in stakeholder-facing environments and explaining technical decisions in plain language.
  • Proven ability to deliver quickly in an ambiguous environment and take ownership.

Nice to have

  • Strong understanding of agent theory, evaluation methods, and failure modes.
  • Experience building semantic layers, business-facing data models, or metric definitions.
  • Experience with vector search, embeddings, and retrieval-augmented generation patterns at production scale.
  • Prior experience as a forward deployed engineer, solutions engineer, or delivery-focused AI engineer.

**WE WILL NOT BE UTILIZING THIRD PARTIES FOR THIS SEARCH. PLEASE APPLY OR REACH OUT IF YOU'RE A CANDIDATE INTERESTED IN THE ROLE**

CONTACT

Devin Klein

Recruitment Consultant

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