[Hiring] Enterprise AI/ML Architect @Network Designs Inc.

Role Description

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.

Qualifications

• 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

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

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

Benefits

• Comprehensive health, dental, vision, pet, and legal insurance
• 401(k) retirement matching
• Paid leave and paid holidays
• Health and wellness programs
• Employer-paid life and disability insurance
• Professional development and education benefits
• Resources to ensure our team has what they need to thrive on and off the job