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Forward Deployed Engineering Lead - Data Science & Integration

Job in Herndon, Fairfax County, Virginia, 22070, USA
Listing for: Centaur Labs
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Software Engineering – Forward Deployed Engineer (FDE)

About the Role

We are seeking a highly accomplished and senior‑level Forward Deployed Engineer (FDE) to join our elite Public Sector team. This unique high‑impact position blends the roles of a hands‑on data scientist, integration architect, and strategic partner embedded directly with customers.

In this role, you will bring cutting‑edge data science pipelines, intelligent automation, and enterprise integration solutions to life for mission‑critical work across the U.S. Department of Defense, Intelligence Community, and Aerospace & Allied Nations.

We expect a seasoned technologist who thrives working forward‑deployed at customer sites, building bespoke solutions leveraging enterprise workflow orchestration platforms such as Regrello and API‑led connectivity platforms such as Mule Soft, while also designing and delivering advanced AI/ML systems.

Mission Impact
  • Deploy cutting‑edge data science & integration innovation directly at customer sites in defense, intelligence, and aerospace environments.
  • Become a trusted partner embedded with mission owners, working in classified and unclassified environments to translate challenges into end‑to‑end solutions.
  • Drive innovation at the front lines by bridging customer missions and internal engineering teams.
  • Improve efficiency, mission‑readiness, and trust by helping U.S. and allied governments deploy integrated data technology stacks.
  • Drive tangible outcomes through hands‑on implementation, taking responsibility for end‑to‑end technical delivery.
  • Build transformative data science solutions, designing and implementing high‑quality, scalable production ML and analytics systems.
  • Engineer bespoke integration architectures using enterprise integration platforms such as Mule Soft Anypoint Platform.
  • Orchestrate complex workflows using workflow automation and process orchestration platforms such as Regrello.
  • Own the entire data lifecycle on‑site with customers.
  • Lead rapid prototyping and iteration, developing proofs‑of‑concept and MVPs side‑by‑side with customer teams.
Mission Responsibilities
  • Serve as the forward‑deployed technical lead on high‑profile customer engagements—designing, building, and deploying tailored data science and integration solutions.
  • Architect and implement enterprise integration solutions—using platforms such as Mule Soft Anypoint Platform, including API design, development, and management across REST, SOAP, and event‑driven integration patterns.
  • Design and deploy workflow automation solutions—leveraging platforms such as Regrello to model complex operational processes.
  • Lead integration of AI/ML models, custom data pipelines, and automation flows that enable predictive maintenance, personnel planning, and mission‑critical logistics decisions.
  • Work with customer IT and security teams to accelerate Authority to Operate (ATO) and production go‑lives per DoD IL5/IL6 and applicable regulatory frameworks.
  • Partner with internal product and engineering teams to co‑develop integration patterns and data science capabilities informed by frontline customer feedback.
  • Enable customers to adopt modern data platforms and integration middleware for field operations, asset visibility, command center analytics, and secure operational workflows.
  • Mentor junior FDEs and share lessons learned with the broader engineering community.
  • Translate mission priorities into actionable data and integration roadmaps aligned with agency strategy, presenting findings and recommendations to senior stakeholders.
What We're Looking For
  • 8+ years of experience in a hands‑on, end‑to‑end delivery role for high‑quality, scalable production solutions, ideally in customer‑facing or field‑deployed settings.
  • Strong background in Computer Science, Data Science, or a related engineering discipline.
  • Expert‑level proficiency in one or more programming languages (e.g., Python, Java, SQL).
  • Extensive hands‑on experience building and deploying AI/ML solutions, including model development, MLOps pipelines, LLM integration, prompt engineering, and agentic frameworks.
  • Demonstrated expertise in enterprise integration platforms and API‑led connectivity design, with…
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