Senior Artificial Intelligence (AI) Analytic Engineer

NetSage's mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government. We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that's on purpose because of the customers we support. Please connect with us using our Contact Us page if you have any questions about any of our job-openings.

We are seeking a Senior Artificial Intelligence (AI) Analytic Engineer to lead the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. In this role, you will integrate advanced AI capabilities through application programming interfaces (APIs) such as OpenAI and AWS Bedrock. You will also build intuitive front-end experiences using technologies like AWS Amplify and React. The ideal candidate for this position will have deep experience implementing analytic governance and AI governance frameworks, and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy. Please consider applying if you meet the following qualifications.

Required Qualifications:

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and eight (8) years or relevant experience is required. A Doctoral degree (PHD) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of experience is also acceptable.
• Strong proficiency with object-oriented languages like Python and Java.
• Demonstrable expertise with analytic development environments and cloud-native platforms.
• Strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence.
• Proficiency with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo, or similar tools.
• Experience with the following tech stack:
  • PySpark
  • Jupyter Notebooks
  • Kubernetes
  • Docker
  • Elasticsearch
  • Query Time Analytics
  • Customer tools and data repositories