Senior AI Engineer with Policy

Description

SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance.

We are seeking an Artificial Intelligence (AI) Engineer/Policy SME to support a fast-paced, dynamic environment supporting the governance process. In this role, this person will work closely with the ODNI CDO & CAIO to create data and AI governance policy based on experience and real-world considerations, and provide hands-on work dealing with data science and AI models for prototyping, training, inference, and deployment. The customer is seeking a subject matter expert, creating and translating trend analyses, and facilitate stakeholder decision-making, policy, and governance pertaining to current and emerging AI technology.

The selected candidate should have experience in more than one of the requirements below:

• Be an expert in the field of AI with an in-depth knowledge of AI architecture and development.
• Experience translating highly technical concepts into policy and governance documents.
• Demonstrate strong data acumen, understanding complex data structures and their application to AI.
• Have in-depth experience with collaborating with various IC Partners on policy and governance.
• Develop and implement data policies and governance structures to ensure data integrity and compliance.
• Have expertise in one or more of the following subfields, or similar subfield: ethics, policy, or law pertaining to AI, data management, data-mesh, data analytics, data science, data services, and emerging technology.
• Be forward-leaning, recommending necessary improvements to achieve the customer's vision.
• Stay up to date with the latest advancements in AI technologies.

Qualifications

• Active TS/SCI with Polygraph is required.
• Bachelor's degree and ten (10) years or more of related experience; Master's degree and seven (7) years or more experience; PhD or JD and five (5) years or more experience.
• Experience establishing AI policy and governance documents for existing and emerging AI technology.
• 5+ years collaborating with various Intel Community (IC) partners including non-DoD IC elements on information sharing.
• Experience with specific AI applications including NLP, LLM, GenAI, RAG, Agentic AI use cases.
• Experience in at least two of the following fields: AI development, AI architecture, AI policy, AI engineering, AI ethics & laws, data management, data mesh, data analytics, data science, data services, and emerging technology.
• Experience collaborating with data scientists and other AI related stakeholders
• Proficient in data management principles, data-mesh architecture, and data governance frameworks.
• Strong data analytics skills, including proficiency in tools and languages such as Python, R, SQL, and or Jupyter.
• Expertise in data science methodologies and AL/ML techniques, and the application of data and AI services in data and AI projects.