Enterprise AI/ML Architect #1867084

Network Designs Inc.•, VA

3d•Remote

About The Position

We are seeking an Enterprise AI/ML Architect to define and govern enterprise AI/ML architecture, model lifecycle practices, and secure implementation patterns that turn high-value mission use cases into trustworthy, scalable production capabilities. This role supports the Enterprise Information & Data Integration Program and works with cross-functional technical and mission teams to deliver secure, reliable, and well-documented outcomes.

Requirements

U.S. Citizenship is required
Must be able to obtain and maintain a Public Trust clearance
This position is remote, candidate must reside in one of the following states: AL, AZ, DC, FL, GA, ID, MD, MS, NJ, NC, OK, OH, PA, SC, TN, TX, UT, VA, WV
Occasional travel may be required. Candidates should be able to attend meetings at FAA facilities and other locations throughout the Continental United States (CONUS) as required.
Must be available during Eastern Time (ET) business hours to support program needs and FAA coordination.
Master's degree, or approved equivalent, in data science, information technology, mathematics, statistics, or a related field
Minimum 8 years of experience in computer science, engineering, or systems analysis, with a strong focus on AI and ML; at least 5 years of hands-on production programming with AI frameworks.
Relevant experience must directly reflect work, tasks, and deliverables similar to those supported by this position.
Strong written, verbal, analytical, organizational, problem-solving, and cross-functional collaboration skills.
Ability to work with sensitive, confidential, or regulated information and follow applicable federal policies and procedures.
Ability to use Government-issued accounts and designated collaboration and task-tracking systems as required.

Nice To Haves

Experience leading AI initiatives in aviation, government, finance, or another regulated environment.
Production experience integrating sophisticated AI/ML services from AWS, Azure, or Google Cloud.
Experience with LLMs, retrieval-augmented generation, model alignment, agentic workflows, aviation-safety data, or Palantir Foundry.

Responsibilities

Define target-state AI/ML architecture aligned with enterprise data architecture, security requirements, federal governance standards, and responsible-AI principles.
Design secure ML pipelines, MLOps frameworks, feature stores, model registries, and lifecycle controls spanning development, validation, deployment, monitoring, retraining, and retirement.
Establish architecture patterns for AI services, LLM and NLP capabilities, model integration, explainability, auditability, lineage, safety controls, and model governance.
Lead identification and technical shaping of high-value AI use cases, needs analyses, MVPs, prototypes, pilots, and production implementations.
Guide integration of AI capabilities into enterprise platforms, workflows, APIs, data pipelines, Palantir Foundry, and cloud AI services.
Produce AI/ML architecture diagrams, solution-design artifacts, governance models, risk-review materials, technical standards, implementation plans, and value metrics.
Support compatibility testing, deployment, operationalization, technical troubleshooting, knowledge transfer, workforce enablement, and measurable value demonstration.
Advise and mentor architects, data scientists, ML engineers, developers, security practitioners, and program leaders while monitoring emerging AI technologies and regulations.