AI Cloud Engineer
Accenturefederalservices · Hill AFB, UT
About this role
**AI Cloud Engineer — Accenture Federal Services (Hill AFB, Utah)** Accenture Federal Services is seeking an **AI Cloud Engineer** to support our client at **Hill AFB in Utah**. In this role, you’ll build and operate the cloud infrastructure that powers **mission AI/ML workloads**, including **GPU-enabled Kubernetes**, **data lake + streaming analytics**, and **model registry/serving** environments. You’ll work with AI/ML architecture and data platform teams to translate platform requirements into **secure, Zero Trust-aligned** cloud infrastructure for a defense environment. --- ### What you’ll do **AI/ML Infrastructure Engineering** - Build and operate **GPU-enabled Kubernetes** infrastructure for AI/ML training and inference - 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 related to **AI risk management (NIST AI RMF)** and **CMMC** requirements as applicable - 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 (sprints, standups, 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 field (or relevant certifications in lieu of degree) - Exposure to **containerized AI/ML infrastructure** (GPU-enabled Kubernetes, model serving) or strong willingness to develop 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** --- ### Pay Transparency (base pay range) For the states of **CA, CO, CT, HI, IL, ME, MD, MA, MN, NJ, NY, OH, VT, VA, WA** and the **District of Columbia**, the base pay range is: - **$106,300 — $206,200 USD** --- *Accenture Federal Services is an Equal Employment Opportunity employer. Reasonable accommodations a
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