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Remote Ai Infrastructure Engineer Jobs in Colorado

Job Title AI Deployment Engineer The AI Deployment Engineer will support CoorsTek's AI and ... Salary range subject to location, as this role can be remote** Roles and Responsibilities: * Design ...

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

iOS Engineer -Remote

Denver, CO ยท Remote

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

iOS Engineer -Remote

Colorado Springs, CO ยท Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

iOS Engineer -Remote

Aurora, CO ยท Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

iOS Engineer -Remote

Fort Collins, CO ยท Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

iOS Engineer -Remote

Greeley, CO ยท Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

iOS Engineer -Remote

Thornton, CO ยท Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

iOS Engineer -Remote

Denver, CO ยท Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

Senior Dev/Ops Engineer

Colorado Springs, CO ยท On-site +1

$128K - $164K/yr

Automate infrastructure provisioning, deployment, and maintenance using Terraform, Ansible, or ... We engineer complex, integrated solutions that combine cutting-edge AI technologies with emerging ...

Senior Engineer

Colorado Springs, CO ยท On-site +1

$110K - $180K/yr

We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed ... You will lead the automation of software delivery, infrastructure provisioning, and security ...

Senior Engineer

Colorado Springs, CO ยท On-site +1

$110K - $180K/yr

We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed ... You will lead the automation of software delivery, infrastructure provisioning, and security ...

Showing results 41-60

Remote Ai Infrastructure Engineer information

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.
What are the most commonly searched types of Ai Infrastructure Engineer jobs in Colorado? The most popular types of Ai Infrastructure Engineer jobs in Colorado are:
What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Colorado? For Remote Ai Infrastructure Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Ai Infrastructure Engineer jobs in Colorado look for? The top searched job categories for Remote Ai Infrastructure Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Ai Infrastructure Engineer jobs? Cities in Colorado with the most Remote Ai Infrastructure Engineer job openings:
Infographic showing various Remote Ai Infrastructure Engineer job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior MLOps Platform Engineer {S}

Careers - Stratagem - Make a Lasting Impact

Colorado Springs, CO โ€ข On-site, Remote

$90K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

ARKA Group L.P. (โ€œARKAโ€) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

Our AI Center of Excellence builds the next generation ofย Agentic AIย products that autonomously reason, plan, and act on behalf of our customers. To deliver these capabilities at scale, we need a platform engineering group that provides a robust, secure, andย highly availableย MLOpsย foundation across bothย on premiseย clusters and AWS. The team works closely with data scientists, product engineers, and SREs to turn experimental models into reliable services that powerย mission criticalย applications.ย 

In support of work/life balance, many positions are available for a flexible schedule within the pay period.ย  Ask us about the opportunity for flex scheduling if thatโ€™s of interest to you.ย 

Why join usย 

  • Shape theย end-to-endย lifecycle ofย cutting-edgeย AI servicesโ€”from model training to production inference.ย 
  • Influence architecture decisions for a hybrid cloud environment that will serve thousands of concurrent agents.ย 
  • Collaborate with world-class researchers and product teams while enjoying a strong engineering culture focused on automation, observability, and reliability.ย 

      Responsibilities:ย 

      • Design, implement, andย operateย a unifiedย MLOpsย platformย that supports bothย on-premiseย Kubernetes clusters and AWS. The platform should enable rapid onboarding of newย Agentic AIย services and provide consistent governance across environments.ย 
      • Develop reusable CI/CD pipelinesย (GitLab CI) for model packaging, containerization, automated testing, canary releases, and rollbacks.ย 
      • Build observability, monitoring, and alerting stacksย (Prometheus, Grafana,ย OpenTelemetry, CloudWatch) to track inference latency, throughput, resourceย utilization, andย data driftย forย real timeย and batch workloads.ย 
      • Createย self-serviceย toolingย (CLI, SDKs, UI dashboards) that allowsย data scienceย and product teams to register models, define inference endpoints, and manage versioning without deep DevOps involvement.ย 
      • Architect andย maintainย data pipelinesย that feed training data, model artifacts, and inference logs into a governed data lake (S3,ย on premย object store).ย 
      • Collaborate with research and product engineersย to translate experimentalย Agentic AIย prototypes intoย production gradeย services, ensuring reproducibility, security, and compliance.ย 
      • Drive performance optimizationย for inference workloads (GPU/CPU scaling, model quantization, batching strategies)ย 
      • Champion best practicesย in security (IAM, network policies, secret management),ย cost efficiency, andย disaster recoveryย for the hybrid infrastructure.ย 
      • Mentor junior engineersย and contribute to internal knowledge bases,ย upskilling, and reviewย processes.ย 

      Required Qualifications:

      • BS in computer science or related engineering field
      • 5+years of experienceย building and operating production gradeย softwareย infrastructure, preferably inย a hybrid onpremย / cloud environment
      • Deep expertise with Kubernetesย (cluster provisioning, Helm, operators, custom resources) and container runtimes (Docker, OCI)
      • Hands on experience with AWS servicesย (EKS, SageMaker, S3, IAM, CloudWatch, Step Functions) and the ability to bridge onprem resources with AWS via VPN/Direct Connect
      • Strong software engineering skillsย in Python and at least one compiled language (Go,ย Rust, or Java) for building platform components and SDKs
      • Proficiency with CI/CD andย GitOpsย toolingย (Argo CD, Flux,ย Gitlab, GitHub Actions,ย or similar)
      • Solidย understanding of distributed systems (consensus, fault tolerance, load balancing) and experience tuning high throughput, low latency inference pipelines
      • Experience with data engineering frameworksย (Airflow, Prefect, Kafka, Spark, Flink) and building robust, versioned data pipelines
      • Familiarity with observability stacksย (Prometheus, Grafana,ย OpenTelemetry,ย ELK) andย the ability to define meaningful SLIs/SLOs for AI services
      • Track record of collaborating with research or product teamsย to move prototypes to production, translating experimental code into maintainable services
      • Strongย problem solvingย mindset, excellent written and verbal communication, and a passion for building scalable AI platforms

      Preferred Qualifications:

      • Working knowledge of Scrum and Agile software development methodology

      Location: Remote

      This is a remote position that will primarily be supporting our Aurora, CO and King of Prussia, PA locations.ย  Due to contract requirements, the job has to be performed from a remote location in the United States.

      What We Offer:

      • Comprehensive medical/vision/dental insurance packages
      • Company contributions to qualified HSA accounts
      • 401k retirement plan with industry leading company contributions
      • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
      • 13 paid holidays
      • Upfront tuition assistance for approved degree programs
      • Annual bonus program based on company and employee performance
      • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
      • 4 weeks paid Parental Leave
      • Employee assistance program (EAP)

      EHS/Environmental Requirements:

      This job operates alongside a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

      Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

      ITC & Security Clearance Requirements:

      This position requires the incumbent to access export-controlled information. If you are not a U.S. Person, any offer is contingent upon the Company's ability to obtain a special license granting you access. This could take several months. You will not be able to begin employment until such license is obtained.

      Visa Restrictions:

      No visa sponsorship is available for this position.

      Pre-employment Screenings:

      Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.