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Forward Deployed Engineer

Job in Kansas City, Wyandotte County, Kansas, 66115, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-08-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Embed directly within assigned customer accounts to deeply understand their environment, workflows, and security challenges.
  • Follow the FDE engagement loop:
    Discover, Ideate, Document, Build, Ship — moving from problem identification to working solution with a bias toward action.
  • Build custom solutions tailored to customer needs — including automations, integrations, AI‑assisted workflows, data pipelines, and security tooling extensions.
  • Apply combined expertise across AI, data, and security to solve problems that off‑the‑shelf tools cannot address.
  • Document solutions thoroughly so they can be reviewed, refined, and offered to other customers across the platform.
  • Continuously identify and surface new problem areas, data opportunities, and intelligence gaps encountered during customer engagements — feeding these discoveries into the AI & DS function for evaluation and development.
  • Collaborate closely with the AI & Data Science function — surfacing cross‑customer intelligence needs directly from customer engagements.
  • Maintain a strong working relationship with customer technical stakeholders throughout the engagement.
  • Manage multiple active customer accounts concurrently, maintaining deep focus and high‑quality output across each engagement.
  • Escalate blockers or account risks to the Director or Staff‑level engineers when appropriate.
Requirements
  • 3+ years in software engineering, security engineering, or a technical customer‑facing role.
  • Strong programming skills in Python and/or another general‑purpose language (Go, Type Script, etc.).
  • Experience working directly with customers to solve complex technical problems.
  • Familiarity with AI/ML tooling, data pipelines, or data engineering concepts.
  • Knowledge of security operations, SIEM/SOAR, cloud security, or endpoint security.
  • Ability to rapidly prototype and ship working solutions in ambiguous, fast‑changing environments.
  • Strong technical documentation skills — you write things down so they can scale.
  • Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent practical experience).
  • Relevant certifications such as CISSP, CISM, GIAC certifications, Google Cloud Professional, Microsoft SC‑200/AZ‑500, or AWS Certified Solutions Architect are a plus.
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