AI Assurance Engineer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

About The Position

Are you an engineer with hands-on experience evaluating, testing, and assessing AI-enabled systems within the Department of Defense (DoD) or a similar mission-focused environment? Do you have experience with generative AI models, agentic systems, AI security, and the evolving AI threat landscape? Are you passionate about designing rigorous evaluations and applying benchmarks and test frameworks to assess model performance, safety, robustness, and mission suitability? If you thrive in a collaborative, fast-paced environment and enjoy solving complex technical challenges, we want to hear from you. We are seeking an AI Assurance Engineer to help develop and execute comprehensive evaluations of generative AI models and agentic systems, leveraging state-of-the-art testing methodologies, measurement techniques, and assurance frameworks. You will work across the AI lifecycle to ensure models and agentic systems meet rigorous security, reliability, and operational assurance standards, helping enable the safe and effective adoption of AI for mission-critical applications.

Requirements

A Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Cybersecurity, or other relevant technical field.
Experience with Python and software development for AI, data analysis, or test automation.
Familiarity with generative AI models, agentic systems, or machine learning concepts and the AI threat landscape.
Knowledge of test and evaluation principles, including developing test cases, defining success criteria, and analyzing results.
Strong analytical, written, and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment.
The ability to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top-Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Nice To Haves

A Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Cybersecurity, or a related technical field.
Familiarity with AI risk management frameworks, assurance best practices, and governance principles for deploying trustworthy AI systems.
Experience evaluating generative AI models or agentic systems using AI benchmarks, test frameworks, or adversarial testing methodologies.
Experience presenting technical findings, risk assessments, and evaluation results to senior leaders, government sponsors, or other technical and non-technical stakeholders.

Responsibilities

Design and execute assurance evaluations for generative AI models and agentic systems supporting defense and healthcare missions.
Develop test strategies, evaluation plans, test cases, and success criteria to assess AI performance, security, robustness, and mission suitability.
Apply AI evaluation methods, benchmarks, and test frameworks to identify model limitations, vulnerabilities, and assurance risks.
Collaborate with AI researchers, engineers, and mission partners to advance AI assurance capabilities and support operational deployment.
Analyze evaluation results and communicate technical findings, recommendations, and assurance decisions to government sponsors.
Evaluate AI capabilities in realistic mission environments to enable informed, risk-based deployment decisions.