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Forward Deployed Engineer – Applied AI & Search

Job in Columbus, Bartholomew County, Indiana, 47201, USA
Listing for: ChapsVision
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

About Chaps Vision & Sinequa

We build the enterprise platform for AI‑powered search and agentic orchestration. The goal is straightforward: give every employee fast, governed access to the right information, in the right context, when they need it, with tight control over how AI uses it.

What Makes This Role Different

A lot of forward‑deployed roles give you a set playbook and a rotating list of accounts. This one is set up differently. You will own a single flagship account from start to finish, building against real production data (drawings, specifications, parts, PLM) rather than demo environments. Because this deployment shapes how we scale, what you work out here becomes the blueprint for the next wave of strategic customers.

You will have real ownership of the account, with the platform, the R&D relationships, and company resources behind you.

What You Will Do
  • Embed with the customer:
    Sit on‑site at the customer’s headquarters, working day‑to‑day with its business stakeholders, its own program team, and technical leadership. You will be the main point where account strategy and technical delivery come together.
  • Translate in both directions:
    Turn business priorities into a delivery plan you can actually build, and turn platform capability into outcomes that work for the people using them. A lot of the value here is judgment and translation, not just code.
  • Lead technical discovery:
    Run the architecture discussions, white‑boarding, and discovery needed to map a complex data ecosystem across PLM, drawings, specifications, and parts data spanning several business units.
  • Resolve blockers at the desk:
    Work through a rigid enterprise environment with high interpersonal instincts. You’re comfortable walking over to a stakeholder’s desk to unpack an integration roadblock and get people to agreement.
Build Governed Agentic Workflows & Search Solutions
  • Ship production artifacts:
    Write clean, production‑grade code for complex components like Model Context Protocol (MCP) servers, stateful sub‑agents, and deterministic agent skills on our agent orchestration platform.
  • Model‑agnostic design:
    Build workflows that use the right frontier LLM for the job (Claude, Gemini, GPT, or specialized open‑source models), tuned for cost, context limits, and latency.
  • Optimize search at scale:
    Manage high‑scale indexing and search pipelines for a user population in the tens of thousands. That means search‑engine performance work, document chunking, and real‑time relevancy tuning across a range of data silos, including the PLM‑sourced technical content (for example, PTC Windchill) that sits at the core of this program.
  • Build in strong guardrails:
    Design clear process guardrails and required Human‑in‑the‑Loop (HITL) checkpoints, including SME validation, role‑based access, and a capability maturity lifecycle, so autonomous agents working in low‑margin‑for‑error settings stay safe, predictable, and auditable.
Bridge Delivery and R&D, and Scale the Product
  • Bridge PS and R&D:
    Sit between Professional Services delivery and core R&D. Carry escalation authority and roadmap visibility, and route what you find in the field into structured product feedback.
  • Accelerate the handover:
    Bring the product depth that helps the customer’s embedded team take over more of the work over time. Part of doing this job well is gradually handing it off so their team can run it without you.
  • Champion safety & reliability:
    Keep a high bar for data privacy, making sure native enterprise document‑level permissions hold up end‑to‑end through the retrieval and AI execution loop.
You May Be a Good Fit If You Have
  • Agentic platform depth:
    Hands‑on experience with agentic platforms and agent orchestration matters most for this role. If you’ve done this kind of work before, you’ll get up to speed faster. If you haven’t, we’ll want to see that you’ve ramped quickly on complex proprietary platforms in the past.
  • A proven track record (8+ years):
    Time in a highly technical, customer‑facing role such as Forward Deployed Engineer, Solutions Engineer, or client‑facing Software Engineer. We care more about what you’ve shipped and the trust you’ve earned than the exact number of…
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