Senior​/Staff Forward Deployment Engineer (Java & AI Integration, Gen AI) - Full Time Role

Role:
Senior / Staff Forward Deployment Engineer

Location/s:
Bellevue, WA / Overland Park, KS / Frisco, TX (Hybrid 4 days a week onsite) - Travel: up to 25%

Job Type: Full Time

• The role is part of the founding teamand requires strong technical expertise in Python, Golang, Java (mandatory), system design, and architecture, along with proven experience in AI integration, GenAI, AI agents, and LLMs.
• The position is customer facing, requiring a technical engineer with excellent soft skills who can act as a mediator between business and technical teams, serving as a hands on communicator. The candidate must be able to start quickly.
• Linked In should match the resume of the candidate.

• The role is part of the founding teamand requires strong technical expertise in Python, Golang, Java (mandatory), system design, and architecture, along with proven experience in AI integration, GenAI, AI agents, and LLMs.
• The position is customer facing, requiring a technical engineer with excellent soft skills who can act as a mediator between business and technical teams, serving as a hands on communicator. The candidate must be able to start quickly.
• Linked In should match the resume of the candidate.

4 rounds (Prescreening/ can share phone screening document) Live Coding Technical/Customer focused Interview Customer Evaluation)

Engineering | Senior Staff Individual Contributor | Founding Team

• We are building client's founding Forward Deployment Engineering team, and we're looking for seasoned engineers to set the bar.
• As a Senior/Staff FDE, you sit at the intersection of engineering and the customer.
• You embed directly with internal business teams and external partners to take powerful platforms AI/GenAI tools, data products, and custom integrations and turn them into working solutions that deliver real outcomes.
• You are part builder, part problem-solver, and part trusted advisor: writing production code one day, mapping a messy real-world workflow the next, and advising senior stakeholders on strategy by the end of the week.
• This is a high-impact role for an experienced engineer who has done the work before, thrives in ambiguity, and operates with little oversight.
• As one of the first FDEs, you won't just deploy solutions you'll define how this team works: the playbooks, the standards, the tooling, and the bar for everyone who follows. You'll also mentor more junior engineers as the team scales.

• Embed with internal teams and external customers to understand their workflows, pain points, and goals then design and deploy solutions that fit.
• Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
• Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
• Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
• Partner with end users and stakeholders running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
• Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
• Monitor and improve solutions for reliability, performance, and adoption after launch you own outcomes, not just deliverables.
• Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.

• Experience:
  
  8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.
• Technical depth:
  Deep, hands-on programming expertise (e.g., Python, JavaScript/Type Script, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.
• Platform fluency:
  Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows). You bring real breadth and adapt quickly to the right tool for the problem.
• Customer-facing track record: A…