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Director Artificial Intelligence Testing Jobs in Colorado

Our AI-powered spatial intelligence platform fuses data from the world's highest-resolution ... Experience with spacecraft and/or optical payload environmental testing (e.g., thermal vacuum ...

Customer Experience Specialist

Denver, CO · On-site

$18.25 - $23/hr

A pre-employment background check, including a criminal record check and drug testing, is required ... NOTICE TO EMPLOYEES AND APPLICANTS REGARDING THE USE OF ARTIFICIAL INTELLIGENCE (AI) Our Commitment ...

Customer Experience Specialist

Thornton, CO · On-site

$18.25 - $23/hr

A pre-employment background check, including a criminal record check and drug testing, is required ... NOTICE TO EMPLOYEES AND APPLICANTS REGARDING THE USE OF ARTIFICIAL INTELLIGENCE (AI) Our Commitment ...

... artificial intelligence, helping drive innovative and scalable testing solutions. Department Introduction The Firmware & Product Test (FPT) team at Micron Technology plays a critical role in ...

AI/ML Engineer

Aurora, CO · On-site

$125 - $150/hr

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist ... Skill in debugging and testing AI models DESIRED SKILLS * Knowledge of reinforcement learning

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist ... Skill in debugging and testing AI models DESIRED SKILLS * Knowledge of reinforcement learning

Showing results 41-60

Director Artificial Intelligence Testing information

What does a director of artificial intelligence testing do?

A Director of Artificial Intelligence (AI) Testing oversees the development, implementation, and management of strategies to test and validate AI systems. This role ensures that AI models and solutions are reliable, ethical, and perform as intended before deployment. Responsibilities include leading teams of testers and engineers, establishing testing protocols, identifying potential biases, and ensuring compliance with regulations. The director also collaborates with other departments to integrate quality assurance throughout the AI development lifecycle.

What are the key skills and qualifications needed to thrive as a director of artificial intelligence testing?

To thrive as a Director of Artificial Intelligence Testing, you need deep expertise in AI/ML concepts, test methodologies, and a strong background in computer science or a related field, often supported by advanced degrees. Familiarity with AI testing tools, automation frameworks, and experience with cloud platforms and regulatory compliance systems is essential. Exceptional leadership, strategic thinking, and communication skills enable effective team management and stakeholder collaboration. These skills ensure robust AI system validation, risk mitigation, and the delivery of reliable, ethical AI solutions.

What are the common challenges faced by a director of artificial intelligence testing, and how can they be addressed?

A Director of Artificial Intelligence Testing often faces challenges such as ensuring the reliability and fairness of AI models, keeping up with rapidly evolving technologies, and managing cross-functional teams with diverse expertise. Addressing these challenges requires a strong framework for continuous testing, effective communication across data science, engineering, and QA teams, and staying updated on the latest AI validation tools and best practices. Proactively fostering a collaborative culture and investing in ongoing staff development can also help mitigate risks and drive successful AI deployments.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Colorado?

The most popular types of Artificial Intelligence Testing jobs in Colorado are:

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

DeNOVO Solutions

Aurora, CO • On-site

$175K - $230K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Key responsibilities

  • Develop, integrate, test, deploy, and sustain containerized AI-enabled applications and services.

  • Lead software integration, API and microservice development, orchestration, MLOps, DevSecOps, and cloud-native deployment activities.

  • Collaborate with Data Scientists, RF and data engineering personnel, Analysts, and Government stakeholders to meet performance, cybersecurity, interoperability, verification, validation, and scalability requirements.


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 amp; skills equal to the larger companies.
Join Our Team! DeNOVO Solutions, LLC, a Minority Owned-Service Disabled Veteran Owned Small Business (MO/SDVOSB) dedicated to providing the best technical and professional services throughout the Intelligence Community (IC). We offer the following as part of our benefits package to all of our full-time employees:
  • 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.