Senior External Model Integration Engineer

Senior External Model Integration Engineer Everforth ECS is seeking a Senior External Model Integration Engineer to work in the National Capital Region covering the Pentagon, Falls Church and Fairfax. This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative within the U.S. Department of War's 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. It extends to Unclassified, Secret and Top Secret environments, supporting collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders and operational analysts. Responsibilities Lead the design, engineering and sustainment of integrations between WDP Core Integration and external AI/ML model providers, including commercial platforms such as Amazon Bedrock. Implement secure and scalable API integration patterns aligning with WDP Core Integration architectures, Zero Trust principles and DoW cybersecurity policy. Develop wrapper services, proxy configurations, schema translation layers, credential‑handling mechanisms and rate‑limiting profiles that standardise external model access within WDP Core Integration’s approved API patterns. Conduct technical evaluation of external provider capabilities, validate interoperability with WDP Core Integration pipelines and define cross‑domain promotion constraints for approved model artefacts and service endpoints. Coordinate with cybersecurity engineers, DevSecOps pipeline teams, platform architects and enclave administrators to maintain compliance with enclave boundary controls, transport encryption requirements, identity‑access integration patterns and audit‑logging expectations. Support test and evaluation activities by integrating reliability checks, performance benchmarks, contract‑testing patterns and model‑behaviour validations into integration workflows. Develop technical documentation, integration playbooks, architectural diagrams and sustainment materials that codify provider‑specific requirements and operational readiness indicators. Strengthen overall mission value by enabling consistent, secure and scalable access to advanced AI capabilities across all WDP Core Integration environments. Required Skills Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) clearance with Sensitive Compartmented Information (SCI). 10+ years of experience in software engineering, systems integration or data‑platform development with a focus on API design, AI/ML model serving or enterprise integration architecture. Demonstrated experience designing, building and maintaining secure API integrations with external AI or ML model providers, including hands‑on development of wrapper services, proxy layers, schema translation components and credential‑handling patterns. Experience integrating AI/ML capabilities within cloud‑based or hybrid enterprise platforms, including familiarity with managed model‑provider ecosystems such as Amazon Bedrock. Hands‑on experience applying Zero Trust principles, DevSecOps practices and enclave boundary controls within classified or government‑accredited environments, including compliance with transport encryption, identity‑access management and audit‑logging requirements. Strong problem‑solving and decision‑making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution. Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders. Desired Skills Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility. Prior experience supporting AI or data‑platform integration efforts within DoW, Intelligence Community, Combatant Command or CDAO‑affiliated programmes, particularly in multi‑enclave or cross‑domain environments. Familiarity with cross‑domain solution architectures, multi‑enclave data‑promotion workflows and the technical constraints governing model artefact and service‑endpoint transfers between NIPRNet, SIPRNet and JWICS environments. Experience with contract‑testing frameworks, model‑behaviour validation methodologies and performance‑benchmarking practices applied to AI/ML service integrations operating in production government environments. Familiarity with CDAO AI governance standards, DoW Risk Management Framework (RMF) processes and authorisation‑to‑operate requirements as applied to AI model‑serving infrastructure and external provider integrations. ECS Federal LLC is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state or local jurisdiction law. #J-18808-Ljbffr RadNet, Inc.