Job Description
Everforth ECS is seeking a Technical Lead - Serving & Pipelines SME 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 warfighting 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.
This role designs, architects, and leads end-to-end AI and machine-learning model serving operations across all WDP classification enclaves, owning the full lifecycle of automated model pipelines—from scan and validation through cross-domain promotion and production release—to ensure scalable, secure, and mission-ready AI capability delivery across NIPRNet, SIPRNet, and JWICS.
• Designs, architects, and leads end-to-end AI and machine-learning model serving operations across Unclassified, Secret, and Top Secret enclaves supporting mission analysts, operational planners, and senior decision makers.
• Builds and maintains automated data and model pipelines that scan, validate, package, and deploy model artifacts into production environments using enterprise tools such as Kubernetes, Argo Workflows, GitLab CI, Sonatype, and automated security scanning suites.
• Integrates test and evaluation checkpoints into deployment pathways to validate mission readiness, performance reliability, and adherence to engineering and cybersecurity best practices before models enter operational use.
• Implements serving endpoint configurations, proxy patterns, and access control integrations for scalable, secure, and auditable model consumption across the War Data Platform (WDP) Core Integration Platform.
• Maintains an enterprise model catalog and model-zoo interface providing users with structured discovery, metadata access, and controlled onboarding workflows.
• Coordinates cross-domain model promotions using approved transfer mechanisms to deliver synchronized releases across NIPRNet, SIPRNet, and JWICS.
• Establishes standardized release processes for multi-enclave deployments supporting ten to thirty model and service releases per month.
• Integrates external model provider services—including commercial foundation model platforms—to expand mission-aligned model availability via secure application programming interfaces.
• Leads troubleshooting and Tier-4 support activities for model serving, deployment infrastructure, and production pipelines.
• Produces engineering artifacts, architecture diagrams, and operational reports that advance reliability, accelerate release velocity, strengthen mission assurance, and increase adoption of enterprise artificial intelligence capabilities.
• Performs other duties as assigned.