AI/ML Integration Specialist

About the role

The AI/ML Integration Specialist is responsible for the technical direction and execution of all tasks related to Artificial Intelligence (AI) and Machine Learning (ML) integration across the enterprise. This role focuses on incorporating approved AI capabilities into existing toolsets and infrastructure to enhance mission execution while maintaining security, compliance, and operational effectiveness.

Responsibilities

• Provide technical direction and execute AI/ML integration initiatives enterprise‑wide.
• Evaluate AI tools and determine suitability for integration into existing systems.
• Support data schema design and data‑pipeline architecture to ensure quality, security, and compliance.
• Configure APIs and data connectors for AI services and define interface requirements.
• Establish frameworks for continuous verification, testing, and monitoring of AI‑enabled solutions.
• Draft technical roadmaps that outline phased AI adoption, identify technical risks, interoperability challenges, and resource requirements.
• Design and conduct technical monitoring, vulnerability assessments, and evaluation criteria for AI systems.

Requirements

• Active and maintained Secret (or higher) Federal or DoD security clearance.
• Bachelor’s degree in a relevant field.
• Minimum of five (5) years of experience integrating advanced AI and ML capabilities within federal or defense environments.
• AWS Machine Learning Specialty certification.
• TensorFlow Developer certification or equivalent AI/ML technical certification.
• Demonstrated experience identifying and evaluating AI tools for integration suitability and analyzing system architectures to determine optimal AI integration points.
• Experience drafting technical roadmaps for phased AI adoption, including risk and interoperability analysis.
• Experience supporting data schema and mapping alignment, designing or modifying data pipelines, and drafting procedures to ensure data quality, security, and compliance for AI use.
• Experience assisting with API and data connector configuration for AI services, defining AI interface requirements, and validating AI‑enabled workflows against operational needs.
• Experience designing continuous verification frameworks, defining test and evaluation criteria, and conducting technical monitoring and vulnerability assessments for AI systems.

Preferred qualifications

• Experience integrating AI capabilities into acquisition, portfolio management, or industrial‑base analytic tools.
• Familiarity with defense data and security policies and AI governance practices, including compliance requirements for AI/ML deployment.
• Hands‑on experience with MLOps practices, including model deployment, monitoring, and performance management in production environments.
• Strong collaboration skills with enterprise architects, data engineers, cybersecurity specialists, and mission owners.
• Master’s degree in Computer or Systems Engineering.

Travel

Travel required up to 10% of the time.

Benefits

• Medical, Rx, Dental & Vision insurance
• Personal and family sick time & company‑paid holidays
• Discretionary variable incentive bonus (position may be eligible)
• Parental leave and adoption assistance
• 401(k) retirement plan
• Basic life & supplemental life insurance
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short‑term & long‑term disability coverage
• Student loan pay‑down
• Tuition reimbursement, personal development & learning opportunities
• Skills development & certifications
• Employee referral program
• Corporate‑sponsored events & community outreach
• Emergency back‑up childcare program
• Mobility stipend