Senior Artificial Intelligence (AI) Engineer (SWE-3)

Leidos•Fort Meade, MD

2d•$107,900 - $195,050

About The Position

Kudu Dynamics, a Leidos Owned Company, is seeking a Senior AI Engineer to support the Technology Trending Solutions mission. This role involves leading the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. The ideal candidate will have deep experience implementing analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA), ensuring compliance, auditability, and alignment with customer and enterprise policy. The engineer will integrate advanced AI capabilities through APIs such as OpenAI and AWS Bedrock, and build front-end experiences using technologies like EX, AWS Amplify, and React. Hands-on expertise with analytic development environments and cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS) is required, along with strong agile delivery skills using Scrum or Kanban and tools like Jira and Confluence. Proficiency with modern version control and model/code management using Git, GitLab, Hugging Face, and Bailo (or similar) is essential, as is a proven track record of driving AI solutions from concept through governed production deployment in sensitive, mission-focused environments.

Requirements

Bachelor's degree plus eight (8) years of relevant experience or equivalent.
Proficiency with object-oriented languages (Python and Java).
Experience with PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics.
Active TS/SCI with Polygraph security clearance.
Deep experience implementing analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA).
Hands-on expertise with analytic development environments and cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS).
Strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence.
Highly proficient with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo (or similar).
Proven track record of driving AI solutions from concept through governed production deployment in sensitive, mission-focused environments.

Nice To Haves

Knowledge of customer corporate tools and data repositories.

Responsibilities

Collaborate closely with customers to build AI workflows and develop analytics based off artifacts to use AI to flag data of interest and summarize.
Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery.
Lead the design, development, and deployment of mission-critical AI and analytics solutions.
Integrate advanced AI capabilities through APIs such as OpenAI and AWS Bedrock.
Build intuitive front-end experiences using technologies like EX, AWS Amplify and React.
Ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy.