About this opportunity
Engg lists this AI Cloud Engineer opportunity in hill air force base, Utah. Review the employer’s description below for duties, qualifications and application requirements.
Job description
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! 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
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the respon
#J-18808-Ljbffr
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.