Staff Forward Deployed AI Solutions EngineerActive$167K–$209K

The opportunity

The Staff Forward Deployed Solutions Engineer will work directly within a business domain (e. g.

What you'll do

  • Map the workflows in your domain: the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools.

  • Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed.

  • Build the business case, quantify projected impact, and align with domain leadership on priorities.

  • Map structured and unstructured data flows across the systems involved (CRM,: ERP, ticketing, document stores, internal tools, external SaaS).

  • Define the target workflow: what the agent does, what the human does, and where they hand off.

  • Figure out what context the agent or model needs to do the work well: and how to get it there reliably (retrieval, grounding, tool access, memory).

What they're looking for

  • Hands-on technical fluency. CLIs, APIs, webhooks, SQL, and Python scripting.: Working knowledge of LLM and agent behavior — prompting, context, tool use, RAG, MCP, evals, failure modes. Be very comfortable with a cloud platform.
  • Trustworthy with elevated access. Least-privilege, auditability, and safe rollbacks are second nature.
  • Strong technical and process judgment. You think in outcomes and KPIs, can: defend prioritization calls, and are comfortable being the most technical person in a business meeting and the most business-savvy in a technical one.