Senior AI Engineer

Job Description

Everforth ECS is seeking a Senior AI Engineer 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 separates business and financial data from operational warfighting data, aiming 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.

The Senior AI Engineer serves as a senior-level AI architect and practitioner responsible for designing, building, and deploying advanced artificial intelligence capabilities that modernize WDP Core Integration's operational support functions across all classification tiers. This role leverages machine learning, natural language processing, and retrieval-augmented generation techniques to automate mission-critical workflows, accelerate request resolution, and strengthen WDP's AI-enabled user experience from the Pentagon to the tactical edge.

Designs and implements advanced artificial intelligence capabilities supporting War Data Platform (WDP) Core Integration modernization objectives by developing automated mechanisms that accelerate request intake, categorization, triage, and routing across Tier 0 through Tier 3 support channels for customers across NIPRNet, SIPRNet, and JWICS enclaves.
Builds and deploys machine learning classification pipelines, natural language processing models, and retrieval-augmented generation components using platforms such as Python, PyTorch, TensorFlow, SageMaker, Amazon Comprehend, and Elasticsearch to identify intent, assign routing paths, and detect anomalous patterns within high-volume operational data streams.
Integrates AI-driven chatbots, recommender engines, and knowledge discovery modules into the WDP Core Integration user experience to provide instant guidance, dynamic knowledge article suggestions, and automated resolution workflows aligned to Government-approved Standard Operating Procedures and mission readiness objectives.
Conducts model evaluation using precision, recall, F1 scores, latency thresholds, and throughput benchmarks to validate operational suitability for Combatant Command, Service Headquarters, Joint Staff, and Senior Executive Service mission users.
Produces deliverables including automation roadmaps, machine learning architecture diagrams, system interface specifications, AI-enabled workflow designs, performance dashboards, and modernization impact reports.
Collaborates with platform engineers, cybersecurity teams, and mission leads to integrate AI enhancements into enterprise pipelines while reducing ticket resolution times, eliminating bottlenecks, and driving continuous improvement in user sentiment metrics, SLA compliance, and cross-enclave operational efficiency.
Performs other duties as assigned.

Required Skills

Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance.
A minimum of 10 years of experience in artificial intelligence engineering, machine learning development, or a closely related discipline within a federal, defense, or enterprise technology environment, with demonstrated senior-level expertise designing and deploying production-grade AI/ML systems at scale.
Hands-on proficiency developing and operationalizing machine learning classification pipelines, natural language processing models, and retrieval-augmented generation architectures using Python and one or more of the following frameworks and platforms: PyTorch, TensorFlow, SageMaker, Amazon Comprehend, or Elasticsearch, including experience deploying these capabilities into multi-enclave government or cloud environments.
Demonstrated experience integrating AI-driven automation - including chatbots, recommender systems, and automated triage workflows - into enterprise operational support or data platform environments, with the ability to validate model performance using standard evaluation metrics such as precision, recall, F1 score, and latency benchmarks in support of production readiness requirements.
Experience producing formal AI engineering deliverables including automation roadmaps, ML architecture diagrams, system interface specifications, and performance dashboards, with the ability to effectively communicate technical AI concepts and design decisions to program managers, platform engineers, cybersecurity teams, and senior government stakeholders.
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 (from peers to end-users to executive management).

Desired Skills

Active Top Secret (TS) security clearance.
Experience developing and deploying AI/ML capabilities within classified multi-enclave environments spanning NIPRNet, SIPRNet, and JWICS, with familiarity navigating the accreditation, model governance, and data handling constraints associated with AI deployment across government-accredited security tiers.
Familiarity with the DoW AI Ethical Principles, Responsible AI framework, and AI risk assessment processes supporting continuous Authorization to Operate (cATO), including experience implementing operational guardrails, model drift detection, and AI performance monitoring in support of enterprise AI governance requirements.
Experience applying the AI Interoperability Integrator (AI3) approach or comparable multi-vendor AI integration methodology, including demonstrated ability to manage AI model lifecycle activities - development, testing, deployment, and sustainment - across a diverse ecosystem of commercial and government AI platforms and vendors.
Background in Agile or DevSecOps delivery models, with demonstrated ability to integrate AI engineering activities into sprint cycles, CI/CD pipelines, and Program Increment planning events, contributing to rapid, iterative capability delivery aligned to evolving warfighter and enterprise mission requirements.

Everforth ECS is seeking a Enterprise Support ISSE - Senior to work in Fairfax, Virginia. Please Note: This position is contingent upon contract award.

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis 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.

Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

• Attracting and developing top talent and high-performing teams
• Fostering a culture that is engaging, accountable, and mission-driven