Senior Artificial Intelligence (AI) Implementation Engineer (TS/SCI with Polygraph Required)

DeNOVO Solutions, LLC

Aurora (CO)

On-site

USD 175,000 - 230,000

Full time

2 days ago
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Benefits offered by this job

Medical, dental, and vision premiums
401k with match
Paid holidays
Paid time off
Tuition reimbursement
Certification assistance

Job summary

DeNOVO Solutions seeks a Senior AI/ML Implementation Engineer in Aurora, CO, to transform advanced research into secure, scalable software that operatizes physics-informed models and ML inference services. You will lead API/microservice development, container orchestration with Docker/Kubernetes, and cloud-native deployment, ensuring cybersecurity and interoperability throughout the ASP-B lifecycle.

You will collaborate with data scientists, RF and data engineers, Analysts, and Government

Qualifications

  • Ten to fifteen years of related professional experience in programs/contracts of similar scope.
  • Active TS/SCI with CI Poly clearance required.
  • Bachelor’s degree or higher in computer science or related discipline; substitutions allowed as described.

Responsibilities

  • Develop, integrate, test, deploy, and sustain containerized AI-enabled applications and services.
  • Lead software integration, API and microservice development, orchestration, and MLOps.
  • Support DevSecOps, CI/CD, and cloud-native deployment activities.
  • Collaborate with Data Scientists, RF engineers, Analysts, and Government stakeholders to meet performance, cybersecurity, and interoperability requirements.
  • Design and implement REST APIs and backend services; build containerized microservices with Docker and Kubernetes.
  • Oversee clearance-compliant deployment in secure environments and ensure verification, validation, and sustainment of capabilities.

Skills

AI/ML software engineering
REST APIs
Software integration
MLOps
DevSecOps
CI/CD
Cloud-native deployment
Security in government environments
Cross-disciplinary collaboration

Education

Bachelor’s degree in CS or related field
Master’s degree substitution for two years of experience
PhD substitution for four years of experience

Tools

Docker
Kubernetes
REST APIs
Cloud platforms
CI/CD tooling

Job 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
  • Implement and support orchestration, MLOps, CI/CD, and DevSecOps pipelines
  • Integrate software with cloud-native and classified environments
  • Perform software integration, testing, verification, validation, deployment, and sustainment activities
  • Support cloud operations and operational deployment activities
  • Optimize application performance, scalability, reliability, and security
  • Troubleshoot software integration and deployment issues across development and operational environments
  • Collaborate with Data Scientists and Data Engineers to operationalize AI solutions
  • Work with RF engineering personnel and Analysts to ensure developed capabilities meet mission requirements
  • Support Government stakeholders throughout development, integration, testing, and operational transition
What You Bring to the Table
  • Senior-level software engineering experience supporting AI/ML-enabled applications and operational software capabilities
  • Experience transforming AI/ML research and prototypes into secure, scalable, and operational software solutions
  • Experience integrating AI/ML models into production or mission-facing software environments
  • Experience developing AI-enabled applications, backend services, and microservices
  • Experience designing and implementing REST APIs
  • Experience developing and deploying containerized applications using Docker and Kubernetes
  • Experience supporting MLOps, DevSecOps, and CI/CD pipelines
  • Experience with software orchestration and cloud-native deployment architectures
  • Experience integrating software within secure and classified environments
  • Experience performing software integration, testing, verification, validation, deployment, and sustainment
  • Experience optimizing application performance, scalability, reliability, and security
  • Ability to integrate machine learning inference services, data services, RF simulation outputs, and mission-facing analytics
  • Understanding of cybersecurity and interoperability requirements within Government software environments
  • Ability to collaborate across multidisciplinary teams including Data Scientists, Data Engineers, RF engineers, Analysts, and software engineering personnel
  • Ability to work with Government stakeholders to meet technical, mission, performance, cybersecurity, and scalability requirements
What You Need
  • 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) additional years of related experience may be substituted.
  • 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, Engineering or Computer Science) may be substituted for two (2) years of experience. A PhD from an accredited college or university in a related engineering discipline may be substituted for four (4) years of experience.
  • Clearance: Active TS/SCI with CI Poly Required

Salary Range: $175,000.00 to $230,000.00

Note: The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate's unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates.

About Us

DeNOVO Solutions. We make improving the competitive position of our customer paramount in importance and work collaboratively to ensure the best service possible. DeNOVO Solutions provides cleared personnel and cost competitive solutions to our customers. We strive to be the leader amongst small businesses in the Intelligence Community and provide personnel with talent & skills equal to the larger companies.

Join Our Team!
  • Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.
  • DeNOVO Paid Health Reimbursement Account (HRA)
  • 401k with 6% Match
  • 11 Paid Federal Holidays
  • 120 hours of Paid Time Off (PTO)
  • Company Outings and Trips
  • Tuition Reimbursement, Skillset Training, and New/Renewed Certification assistance
  • HomeFundIt Company Down Payment Match - Employer match towards the down payment of buying a new home

DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law.

Ready to Apply?

Join DeNOVO Solutions and help transform advanced AI/ML research into secure, scalable, and operational software capabilities that support mission-critical Government environments.

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