API Developer
IPTA · Huntsville, AL · 3 days ago
EngineeringFull-time
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