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Senior Technical Lead - Model Zoo

Job in Fairfax, Fairfax County, Virginia, 22032, USA
Listing for: ECS
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Senior Technical Lead – Model Zoo

Everforth ECS is seeking a Senior Technical Lead - Model Zoo to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax.

Please note:

This position is contingent upon contract award.

The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational war fighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.

Responsibilities
  • The Senior Technical Lead - Model Zoo serves as the authoritative technical architect and operational leader for the WDP Core Integration Model Zoo, the central interface through which mission users across all classification levels discover, request, and access production‑ready AI and machine learning models. This role drives the technical strategy, catalog governance, and integration architecture required to deliver secure, transparent, and mission‑aligned model access across Unclassified, Secret, and Top Secret environments in direct support of WDP Core Integration program objectives.
  • Leads the technical strategy, architecture, and operational advancement of the War Data Platform (WDP) Core Integration Model Zoo as the authoritative interface for discovering, requesting, and accessing production‑ready AI and machine learning models across Unclassified, Secret, and Top Secret mission environments.
  • Defines the model catalog structure, metadata requirements, access workflows, approval pathways, and integration patterns that link the Model Zoo to scanning pipelines, packaging workflows, deployment systems, serving runtimes, and API endpoint configuration processes.
  • Designs and governs model registration services, discovery APIs, role‑based access controls, audit logging functions, and request‑routing logic aligned with NIST security controls, Zero Trust foundations, and enclave‑specific constraints.
  • Implements scalable catalog services using enterprise content frameworks, search indexing technologies, and automated metadata extraction tools that maintain authoritative visibility into available models, operational status, lineage, deployment artifacts, and cross‑domain promotion readiness.
  • Coordinates release activities with pipeline engineering, backend service engineering, cybersecurity engineering, and external model‑provider integration teams to align Model Zoo updates with model promotion cycles, test and evaluation gate results, and enclave readiness requirements.
  • Develops technical documentation, interface specifications, catalog schemas, governance artifacts, and operational runbooks that guide development teams and mission stakeholders.
  • Advances WDP Core Integration program value by delivering a structured, secure, and mission‑aligned catalog that accelerates model discoverability, increases deployment transparency, strengthens access governance, and supports rapid adoption of AI capabilities across all enclaves.
  • Performs other duties as assigned.
Required Skills
  • Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
  • 10 or more years of progressive experience in technical leadership roles spanning AI/ML platform engineering, catalog architecture, or model lifecycle management, with demonstrated responsibility for designing and operating large‑scale model discovery, access governance, and serving integration systems in classified or federal government environments.
  • Demonstrated experience architecting and governing AI/ML model catalog or model zoo capabilities, including the design of metadata schemas, model registration workflows, role‑based access controls, audit logging, and API‑driven discovery services within a multi‑enclave or multi‑classification cloud environment.
  • Hands‑on experience integrating catalog services with Dev Sec Ops  pipelines, scanning workflows,…
Position Requirements
10+ Years work experience
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