AI Assurance Engineer

Strive Solutions; North Laurel (MD); On-site; USD 110,000 - 170,000; Full time

Job summary

Strive Solutions in the United States seeks a design assurance engineer to ensure AI systems are safe, robust, and trustworthy across the lifecycle.

You will embed assurance processes, translate governance/ethics into concrete technical controls, and collaborate with researchers and engineers to validate testing methods and performance criteria.

Qualifications

• Strong understanding of AI reliability, fairness, security, and performance evaluation.
• Ability to design assurance frameworks, tests, and metrics.
• Experience working in collaborative engineering/research environments.
• Competence in converting governance/ethics requirements into technical implementations.

Responsibilities

• Embed assurance processes across the AI lifecycle from concept through deployment.
• Translate ethical and policy requirements into concrete technical controls.
• Develop and validate testing methods and measurable performance criteria.
• Collaborate with researchers and engineers to integrate assurance into development workflows.

Skills

AI reliability

Fairness & ethics

Security & safety

Performance evaluation

Job description

to ensure mission-critical AI systems are safe, robust, and trustworthy. Design assurance frameworks, tests, and metrics that evaluate model reliability, fairness, security, and performance for national security, space, and health applications.

Key Duties

• Embed assurance processes across the AI lifecycle from concept through deployment.
• Translate ethical and policy requirements into concrete technical controls.
• Develop and validate testing methods and measurable performance criteria.
• Collaborate with researchers and engineers to integrate assurance into development workflows.

Qualifications & Skills

• Strong understanding of AI reliability, fairness, security, and performance evaluation.
• Ability to design assurance frameworks, tests, and metrics.
• Experience working in collaborative engineering/research environments.
• Competence in converting governance/ethics requirements into technical implementations.