What are the responsibilities and job description for the Artificial Intelligence Engineer position at SAIC?
Job ID 2509975
Location MCLEAN, VA, US
Date Posted 2025-09-18
Category Information Technology
Subcategory Data Scientist
Schedule Full-time
Shift Day Job
Travel No
Minimum Clearance Required TS/SCI With Poly
Clearance Level Must Be Able to Obtain None
Potential for Remote Work No
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 AI governance policy based on experience and real-world considerations, and provide hands-on work dealing with 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
Location MCLEAN, VA, US
Date Posted 2025-09-18
Category Information Technology
Subcategory Data Scientist
Schedule Full-time
Shift Day Job
Travel No
Minimum Clearance Required TS/SCI With Poly
Clearance Level Must Be Able to Obtain None
Potential for Remote Work No
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 AI governance policy based on experience and real-world considerations, and provide hands-on work dealing with 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.
- Have in depth experience with collaborating with various IC Partners on policy and governance.
- Have an expertise in one or more of the following subfields, or similar subfield ethics, policy, or law pertaining to AI 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
- 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, and emerging technology.
- Experience collaborating with data scientists and other AI related stakeholders
- Experience with Python, R, SQL, Jupyter, MLOps, AI/ML services (e.g., AWS SageMaker, Amazon Q, Azure ML Studio, CoPilot Studio, Google BigQuery, Oracle ML) leveraging cloud service provider(s) (e.g., AWS, Azure, Oracle, and Google)
- Experience with designing, developing, and implementing AI models
- Experience with optimizing and deploying AI solutions