AI Governance SME

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 mission-critical environments.

Additional

Skills & Qualifications

+ Experience working within a federal intelligence or defense environment.

+ Experience contributing to or implementing AI and ML policy or governance frameworks.

+ Familiarity with artificial intelligence and machine learning best practices in large-scale enterprise environments.

+ Experience collaborating with senior technical and non-technical stakeholders to align AI initiatives with strategic objectives.

+ Strong communication skills, with the ability to explain complex technical and AI governance concepts to diverse audiences.

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Experience with AWS or similar cloud service providers for AI, ML, and data workloads.

+ Background in data science, including working with structured and unstructured data to support AI and analytics.

+

Experience with modern…