AI Governance Specialist

Interactive Process Technology LLC

$90K — $120K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field (Computer Science, IT, Public Policy)
  • 10 years of experience in AI/ML governance or tech policy
  • Strong grasp of AI technologies and their applications
  • Experience in policy development and operationalization
  • Proficiency in programming or scripting (Python, JavaScript)
  • Knowledge of AI security and threat dynamics
  • Ability to communicate complex technical concepts to non-experts
  • Secret Clearance and DoD 8570 Level II/III certification required

Responsibilities

  • Support the creation and execution of AI governance policies
  • Define and uphold AI governance standards and requirements
  • Work with engineering and cybersecurity teams to set up AI controls
  • Develop middleware for enforcing AI governance and safety
  • Carry out assessments and reviews for AI application compliance
  • Monitor AI systems to ensure they follow governance protocols
  • Document AI projects, risk evaluations, and governance choices

Benefits

  • Comprehensive healthcare package
  • Retirement savings plan with company match
  • Professional development opportunities
  • Flexible work schedules
  • Generous paid time off policy
Full Job Description
AI Governance Specialist

Redstone Arsenal/Huntsville, AL

We are seeking an AI Governance Specialist to support the development and implementation of AI governance frameworks for DoD enterprise systems. This role requires expertise in AI policy development, application governance, and security oversight, with a focus on ensuring responsible AI deployment in mission-critical environments. The ideal candidate will combine policy acumen with technical understanding to bridge governance requirements with practical implementation.

Responsibilities:
  • Support development and implementation of AI governance policies and procedures
  • Establish and maintain AI application governance requirements and standards
  • Collaborate with engineering and cybersecurity teams to implement AI guardrails and controls
  • Develop middleware solutions to enforce AI governance policies and safety controls
  • Conduct AI application assessments and compliance reviews
  • Monitor AI systems for adherence to governance frameworks and security standards
  • Document AI use cases, risk assessments, and governance decisions
  • Support AI vendor evaluation and third-party AI tool governance
  • Maintain awareness of evolving AI regulations, standards, and best practices
  • Contribute to AI risk management and incident response procedures
  • Develop training materials and guidance on AI governance requirements
  • Participate in cross-functional teams to integrate governance into AI development lifecycle


Requirements:
  • Bachelor's degree in Computer Science, Information Technology, Public Policy, or related field
  • 10 years of experience in AI/ML governance, technology policy, or related field
  • Strong understanding of AI technologies, capabilities, and limitations
  • Experience with policy development and implementation
  • Software development or scripting experience (Python, JavaScript, or similar)
  • Knowledge of AI security principles and threat landscape
  • Ability to translate technical concepts for non-technical stakeholders
  • Active Secret Clearance Required
  • DoD 8570 Level II/III certification Required

Desired Qualifications
  • Experience with NIST AI Risk Management Framework (AI RMF)
  • Familiarity with DoD AI governance requirements and policies
  • Experience conducting technical audits or assessments
  • Understanding of AI model architectures and development processes
  • Experience with AI/ML frameworks and tools (TensorFlow, PyTorch, LangChain, etc.)
  • Knowledge of responsible AI principles and ethics frameworks
  • Experience with cloud AI services (AWS, Azure, GCP)
  • Background in cybersecurity or risk management
  • Experience developing governance automation tools or middleware
  • Familiarity with data governance and privacy regulations

Technical Skills
  • AI governance frameworks (NIST AI RMF, responsible AI principles)
  • Software development (Python, scripting, API integration)
  • AI security and safety controls
  • Policy development and compliance management
  • AI application assessment and risk evaluation
  • Documentation and technical writing
  • Collaboration tools and project management

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