Senior Artificial Intelligence (AI) Implementation Engineer (TS/SCI with Polygraph Required)
- Compensation
- $175K–$230K
- Location
- Aurora, CO
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Customer success
- Posted
Skills
Must have
- Experience: Ten (10) to fifteen (15) years of related professional experience supporting programs and contracts of similar scope, type, and complexity.
- Education: Bachelor’s degree or higher in a computer science or related discipline (e.g., Statistics, Mathematics, Programming, or Systems Engineering). In lieu of a Bachelor’s degree, two (2) additio
- Substitution of Experience: A Master’s degree from an accredited college or university in a related engineering discipline (e.g., Statistics, Mathematics, Operations Research, Cyber Security, Engineer
- Clearance: Active TS/SCI with CI Poly Required
Full description
Position: Senior AI/ML Implementation Engineer
Location: Aurora, CO
Clearance: TS/SCI with CI Poly
Transform Advanced AI/ML Research into Secure, Operational Mission Capabilities
DeNOVO Solutions is seeking a senior AI/ML Implementation Engineer to transform advanced model research into secure, scalable, and operational software capabilities. This role designs, develops, integrates, tests, deploys, and sustains containerized AI-enabled applications that operationalize physics-informed world models, machine learning inference services, RF simulation outputs, data services, and mission-facing analytics. The AI/ML Implementation Engineer will lead software integration, API and microservice development, orchestration, MLOps, DevSecOps, and cloud-native deployment activities to efficiently transition AI capabilities from research prototypes into reliable Government environments. This role works closely with Data Scientists, RF and data engineering personnel, Analysts, and Government stakeholders to meet performance, cybersecurity, interoperability, verification, validation, and scalability requirements throughout the ASP-B lifecycle.
Why You’ll Love This Role:
- Serve as a senior AI/ML implementation engineer responsible for transitioning advanced research into operational mission capabilities
- Develop secure, scalable, and containerized AI-enabled software applications and services
- Operationalize physics-informed world models, machine learning inference services, RF simulation outputs, data services, and mission-facing analytics
- Lead AI/ML model integration into operational software environments
- Design and implement REST APIs, backend services, and containerized microservices
- Support MLOps, DevSecOps, CI/CD, orchestration, and cloud-native deployment activities
- Work across research, engineering, integration, testing, and deployment throughout the ASP-B lifecycle
- Collaborate with Data Scientists, RF and data engineering personnel, Analysts, and Government stakeholders to deliver reliable operational capabilities
A Day in the Life:
- Develop AI-enabled software applications and services
- Integrate AI/ML models into operational software
- Operationalize physics-informed world models and machine learning inference services
- Integrate RF simulation outputs, data services, and mission-facing analytics
- Design and implement REST APIs and backend services
- Develop containerized microservices using Docker and Kubernetes