Accenture Federal Services is seeking an AI Cloud Engineer to join our team and support our client at Hill AFB in Utah. This role builds and operates the cloud infrastructure that supports AI/ML platform capabilities - GPU-enabled Kubernetes, data lake and streaming analytics infrastructure, and model registry/serving environments - for mission AI/ML workloads. You will work alongside AI/ML architecture and data platform teams, translating platform requirements into concrete, secure cloud infrastructure that satisfies Zero Trust and AI risk management expectations for a defense environment. The ideal candidate brings hands-on cloud engineering experience with exposure to containerized AI/ML infrastructure and is comfortable operating in a fast-paced, mission-focused environment.

What you'll do:

AI/ML Infrastructure Engineering

• Build and operate GPU-enabled Kubernetes infrastructure supporting AI/ML training and inference workloads
• Support data lake and streaming analytics infrastructure feeding AI/ML pipelines
• Support model registry and model-serving infrastructure for AI/ML platform capabilities
• Implement Infrastructure as Code for AI/ML infrastructure components (Terraform, Ansible)

Security & Compliance

• Implement cloud security controls aligned with Zero Trust Architecture (NIST 800-207) principles for AI/ML infrastructure
• Support compliance activities relevant to AI risk management (NIST AI RMF) and CMMC requirements as they apply to AI/ML infrastructure
• Support STIG compliance checks and vulnerability remediation on AI/ML platform components

Platform Operations

• Monitor and troubleshoot GPU-enabled compute and data pipeline infrastructure
• Support CI/CD pipeline operations for AI/ML model deployment workflows
• Collaborate with data platform and AI/ML architecture teams on infrastructure requirements

Agile Delivery & Collaboration

• Operate within an Agile framework - participate in sprints, standups, and retrospectives
• Document infrastructure decisions, runbooks, and operational procedures
• Support cross-training and knowledge sharing with the broader Develop & Build team

What you'll need:

• 4 years of cloud engineering or infrastructure experience
• Working knowledge of Kubernetes, including GPU-enabled node pools
• Familiarity with data lake and/or streaming analytics concepts
• Familiarity with Zero Trust Architecture principles (NIST 800-207)
• Working knowledge of Infrastructure as Code (Terraform, Ansible, or CloudFormation)
• Scripting proficiency in Python, Bash, or PowerShell

Bonus Points if you have:

• Bachelor's degree in Computer Science, Data Engineering, Engineering, or related technical field (relevant certifications considered in lieu of degree)
• Exposure to containerized AI/ML infrastructure (GPU-enabled Kubernetes, model serving) or a strong willingness to develop this expertise quickly
• Familiarity with model registry and model-serving tooling
• Familiarity with NIST AI Risk Management Framework (AI RMF) concepts
• Experience with data pipeline tools (Apache Kafka, Apache Airflow, Apache Spark)
• AWS or Azure AI/ML-focused certifications
• CompTIA Security+ (current) or equivalent security certification

Clearance:

• Must have an active Secret level clearance; Top Secret preferred

Work Environment & Culture Fit

• Comfortable operating in a centralized vision, decentralized command culture
• Strong Agile framework familiarity - ability to work effectively in sprints, standups, and retrospectives
• Solution ownership mindset - takes responsibility for assigned AI/ML infrastructure components
• Fail-fast, fail-forward mindset - comfortable learning from mistakes and iterating quickly
• Growth-oriented - eager to build deeper AI/ML infrastructure expertise over time

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is:

$106,300-$206,200 USD