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LeidosPosted 1 month ago

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

$107,900–$195,050 year

On-siteOdenton, Maryland, United States

Full TimeSenior LevelBachelors DegreeEnterprise

Job Summary

Design and deploy mission-critical AI and analytics solutions by integrating advanced capabilities through APIs like OpenAI and AWS Bedrock, while building intuitive front-end experiences with React and AWS Amplify. Collaborate with customers to construct AI workflows that flag data of interest and summarize artifacts, leveraging disparate data to fill knowledge gaps in user activities and technology discovery. Ensure all models, data, and workflows remain compliant, auditable, and aligned with enterprise policy by implementing analytic and AI governance frameworks. Drive solutions from concept through governed production deployment in sensitive environments using agile delivery methods and modern version control tools.

Required Qualifications

  • Bachelor's degree
  • eight (8) years of relevant experience or equivalent
  • active TS/SCI with Polygraph
  • Proficiency with object-oriented languages (Python and Java)
  • experience with PySpark
  • experience with Jupyter Notebooks
  • experience with Kubernetes
  • experience with docker
  • experience with Elasticsearch
  • experience with GHOSTMACHINE
  • experience with Query Time Analytics
  • 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
  • deep experience implementing analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA)
  • ability to ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy
  • 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

Desired Qualifications

  • Knowledge of customer corporate tools and data repositories

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