AI Cloud Engineer
About this role
The infrastructure team builds and operates the cloud foundation supporting mission artificial intelligence and machine learning workloads, including GPU-enabled Kubernetes, streaming analytics, data lakes, and model-serving environments. Daily responsibilities include translating architectural needs into secure cloud resources, implementing infrastructure as code, maintaining compliance with federal security guidelines, and monitoring computing infrastructure for defense clients.
Candidates joining the organization support critical government operations at Hill Air Force Base in Utah while collaborating closely with data platform and architecture groups. Success in the position requires a strong technical foundation in cloud engineering, container orchestration, and security compliance principles within a fast-paced environment.
What you will do
- Build and operate GPU-enabled Kubernetes infrastructure to support machine learning training and inference workloads.
- Implement Infrastructure as Code for infrastructure components using Terraform and Ansible.
- Apply Zero Trust Architecture principles and support compliance activities aligned with NIST standards.
- Monitor and troubleshoot GPU-enabled compute resources alongside data pipeline infrastructure.
- Operate within an Agile framework by participating in sprints, daily standups, and retrospectives.
- Document operational procedures, infrastructure decisions, and maintain comprehensive runbooks.
What you need
- Bring at least 4 years of cloud engineering or infrastructure experience to the position.
- Possess working knowledge of Kubernetes including GPU-enabled node pools.
- Demonstrate familiarity with data lake and streaming analytics concepts.
- Understand Zero Trust Architecture principles according to NIST 800-207 guidelines.
- Show working knowledge of Infrastructure as Code using tools like Terraform, Ansible, or CloudFormation.
- Exhibit scripting proficiency in Python, Bash, or PowerShell.
Nice to have
- Bachelor's degree in Computer Science, Data Engineering, Engineering, or a related technical field
- Familiarity with model registry and model-serving tooling
- Experience with data pipeline tools such as Apache Kafka, Apache Airflow, and Apache Spark
- AWS or Azure AI/ML-focused certifications
- CompTIA Security+ or equivalent security certification
Skills and tech stack
Questions candidates ask
What is the pay range for this role?
The base pay range for this position in applicable states is $106,300 to $206,200 USD. Compensation varies depending on factors including office location, role, skill set, and level of experience.
Where is the position located?
The role supports a client at Hill AFB in Utah. Local compensation ranges also apply to specific US states.
What security clearance is required?
Candidates must have an active Secret level clearance, with Top Secret preferred. Certain security certifications are also noted as beneficial.
How is the team workflow structured?
The team operates within an Agile framework where members participate in sprints, standups, and retrospectives. Work is conducted in a centralized vision, decentralized command culture.
The application is on the official Accenture Federal Services careers page.
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