Senior AI Engineer

Aperio Global•Fort Meade, MD

About The Position

We believe the highest-impact work in national security and technology is a team sport. At Aperio Global, we operate as a single, cohesive force aligned on a handful of mission-critical efforts where our work truly moves the needle. We don't chase small wins. We solve for next. We view the intersection of cybersecurity, artificial intelligence, and data analytics as an empirical discipline as rigorous and consequential as any field in science or engineering. That means we bring intellectual honesty, accountability, and transparency to every problem we take on. Our team includes tech innovators, Intelligence Community veterans, and security professionals who know that the best solutions come from diverse minds working toward a common mission. We value our people, those working quietly behind the scenes, doing the hard work that keeps our nation secure. The best way to understand how we think is to see what we've built. From full-spectrum cyber operations and de-biased AI platforms to quantum networking and cloud-native software systems, our work speaks for itself. Aperio Global 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. 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.

Requirements

Bachelor's degree plus 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 required.
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.
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.

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.