Senior AI Engineer - Linthicum, MD - TS/SCI w/ Full Scope Polygraph Agile - Software Engineering or Dev Ops
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Job description
Our client is seeking a Senior AI Engineer to support the Technology Trending Solutions mission, leading the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. The ideal candidate has deep experience implementing analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA), and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy., * Mission Focus: Collaborate closely with customers to build AI workflows and develop analytics based off artifacts to use AI to flag data of interest and summarize.
- Technical Proficiency: Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery.
Requirements
The Senior AI Engineer will integrate advanced AI capabilities through APIs such as OpenAI and AWS Bedrock, and build intuitive front-end experiences using technologies like EX, AWS Amplify, and React. The role requires hands-on expertise with analytic development environments and cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS), as well as strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence. The candidate must be highly proficient with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo (or similar), and demonstrate a proven track record of driving AI solutions from concept through governed production deployment in sensitive, mission-focused environments., * Qualifications: Bachelor’s degree plus 8-years of relevant experience or equivalent. Proficiency with object-oriented languages (Python and Java) and experience with PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics.
- Security Clearance: Active TS/SCI with Polygraph required.
- Desirable Skills: Knowledge of customer corporate tools and data repositories.
Employment Pre-requisites
The following requirements must be met to be eligible for this position: successful completion of a background investigation, and drug urinalysis.
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