Software Engineer (Senior) - FULLY CLEARED with POLYGRAPH REQUIRED

Job description

Analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA), OpenAI, AWS Bedrock, EX, AWS Amplify, React, cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS), Scrum, Kanban, Jira, Confluence, Git, GitLab, Hugging Face, Bailo (or similar), object-oriented languages (Python and Java), PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics. **Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.** ### Required: - Must be a US Citizen. - Must have TS/SCI clearance w/ active polygraph. - Eight (08) years of direct/relevant experience. - Bachelor’s degree in computer science or related discipline from an accredited college or university is required. - Supports the Technology Trending Solutions mission, leading the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. - 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. - 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. - 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. - 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. - 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. - Proficiency with object-oriented languages (Python and Java) and experience with PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics. ### These Qualifications Would be Nice to Have: - Knowledge of customer corporate tools and data repositories.​