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AI Governance SME

Job in Washington, Rappahannock County, Virginia, 22747, USA
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
Location: Washington

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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