AI Governance SME
Job in
Washington, Rappahannock County, Virginia, 22747, USA
Listed on 2026-06-22
Listing for:
Actalent
Full Time
position Listed on 2026-06-22
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Job Title:
AI Governance Subject Matter Expert
Job Description
This role focuses on shaping and governing Artificial Intelligence capabilities within a large federal intelligence environment. You will collaborate closely with senior technologists, architects, and data professionals to influence, design, and implement enterprise-wide AI initiatives that support both operational and strategic missions. You will play a key role in developing and guiding AI and machine learning policies, ensuring responsible, secure, and effective use of advanced technologies across the organization.
Responsibilities
* Collaborate with senior technologists, architects, and data professionals to design, implement, and govern enterprise-wide AI and machine learning initiatives.
* Support the development, review, and refinement of AI and ML policies that guide the responsible and effective use of AI technologies within a large federal intelligence environment.
* Contribute to the creation and evolution of AI and ML policy for a major defense organization, working directly with government leaders to help shape national-level AI strategy and governance.
* Apply software engineering and development expertise across the full software development lifecycle, including both frontend and backend components, to support AI and data-driven solutions.
* Design, build, test, and troubleshoot software systems that address complex analytical and computational problems in support of mission and business objectives.
* Leverage cloud platforms to architect and deploy AI, ML, and data-intensive applications in secure and scalable environments.
* Develop and maintain applications and services using JavaScript and backend technologies such as Python and Node.js to support AI and data workflows.
* Implement and manage containerized applications using tools such as Docker and Kubernetes to ensure reliable and scalable deployment of AI and ML solutions.
* Work with relational and non-relational databases, including PostgreSQL, MySQL, MongoDB, and other No
SQL technologies, to support data storage, retrieval, and analytics for AI systems.
* Evaluate AI system performance and contribute to the development of metrics, testing approaches, and governance mechanisms that ensure AI systems operate effectively and responsibly.
* Identify and apply innovative technical solutions to address mission and business challenges, ensuring alignment with AI governance principles and organizational policies.
* Provide subject matter expertise on AI governance, including best practices, risk mitigation strategies, and compliance considerations for AI and ML systems in a federal intelligence context.
Essential Skills
* Active TS/SCI security clearance.
* Bachelor's degree combined with 10+ years of relevant experience in software engineering or software development.
* Strong understanding of the full software development lifecycle, including both frontend and backend processes.
* Hands-on experience with cloud platforms, with the ability to design, deploy, and manage applications in cloud environments.
* Proficiency in JavaScript and experience working with backend technologies such as Python and Node.js.
* Experience with containerization and orchestration tools, including Docker and Kubernetes.
* Familiarity with relational and non-relational database systems, including PostgreSQL, MySQL, MongoDB, and other No
SQL technologies.
* Demonstrated ability to design, build, test, and troubleshoot software systems that address complex analytical or computational problems.
* Proven track record of applying innovative technical solutions to meet mission or business objectives.
* Solid understanding of Artificial Intelligence and Machine Learning concepts, including AI system performance evaluation.
* Experience in AI/ML development, including practical application of AI and ML techniques to real-world problems.
* Experience in data science, including working with data to support analytical and AI-driven solutions.
* Experience with software development in languages and environments commonly used in AI and ML projects.
* Experience working with AI, machine learning, and data science in secure or…
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