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Lumbra

Orchestrates multi-agent AI in secure environments

Deployment Strategist

Implementation & Technical Account ManagementUpdated on Nov 5
Full-timeArlington County, Arlington, VA, USA$90k - $250k /yr

About the Job

Requirements

  • Direct, hands-on experience as an analyst, operator, or targeteer in the relevant mission space; roughly two or more years of real mission experience is typical, but depth of experience matters more than a year count.
  • Ability to become a power user of complex analytic tooling and teach it to experienced users.
  • Working Python proficiency, including scripting and data wrangling, and comfort reading and modifying code.
  • Practical understanding of AI agent concepts, including prompting, workflow and evaluation design, and agent failure modes, or a clear track record of quickly learning new technical tooling.
  • Experience eliciting process knowledge from subject matter experts through strong interviewing and listening skills.
  • Clear written communication.
  • Willingness to work on client site 80–100% of the time in Arlington, Virginia, and travel periodically CONUS and OCONUS to supported units.
  • U.S. citizenship and an active TS/SCI clearance.

Responsibilities

  • Map current analyst workflows before platform configuration begins.
  • Interview experienced analysts and operators to surface standard operating procedures, undocumented practices, and exception-to-policy patterns.
  • Encode captured mission knowledge into Nebula as agents, workflows, and skills, and ensure outputs are mission-correct as well as technically valid.
  • Apply prompt and workflow design, evaluation, and failure analysis to improve agent output reliability.
  • Partner with Forward Deployed Engineers, who own the connectors, integrations, and infrastructure the workflows depend on.
  • Drive adoption through hands-on training and coaching.
  • Serve as the main point of contact for analyst feedback on platform behavior.
  • Create reusable workflow documentation to shorten subsequent deployments.
  • Configure agents, design and evaluate workflows, and script in Python.
  • Conduct workflow mapping, elicitation interviews, hands-on training and coaching, and document platform feedback for product and engineering.

Desired Qualifications

  • Experience writing standard operating procedures, tradecraft standards, or training curricula.
  • Hands-on experience with AI-assisted or agentic analytic tooling.
  • Strong Python proficiency.
  • An active professional network in the relevant analytic community.
  • Experience supporting a J2 or joint or component intelligence staff, including Joint Intelligence Preparation of the Operational Environment and the targeting cycle, including the Joint Targeting Cycle and F2T2EA.
  • Experience across the intelligence cycle and all-source fusion, from collection through finished production and targeting support.
  • Experience with Department of Defense and J2 intelligence tooling such as i2 Analyst's Notebook, MARS/MIDB, PROTON, ArcGIS Pro, TAC, FADE/MIST, VOLTRON, and open-source intelligence platforms such as Babel Street, Maltego, Dataminr, or Recorded Future.

About the Company

Lumbra

Orchestrates multi-agent AI in secure environments

Lumbra builds LumbraOS, an operating system for agentic AI in high-consequence environments. It coordinates multi-agent workflows across agencies and systems with full provenance, continuous evaluation, and human oversight on every action. Nebula orchestrates agents and enforces data protections, StarChart provides a customer-owned knowledge graph with sources and sensitivity labels, and Astrolabe tests agents before deployment and scores them in production. The platform is model-neutral and supports classified, air-gapped, and on-premise deployments, and it is deployed on U.S. government networks with plans to extend the architecture to regulated commercial sectors.

Company size
11-50
Company stage
Series A
Total funding
$25M
Headquarters
Arlington County, VA
Founded
2025

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