AI Cloud Platform Engineer

CACI International Inc.
Washington, DC, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Adobe Analytics Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering Encodings Computer Programming Continuous Integration Data Infrastructure Design of User Interfaces Information Retrieval
+15 more
Python (Programming Language) Network Security Windows PowerShell Scripting Cloud Platform System Microsoft Power Automate Large Language Models Multi-Cloud Azure Powershell Generative AI Kubernetes Infrastructure Automation Frameworks Terraform Serverless Computing Docker

Job description

Experteer Overview In this role you design, build, and scale intelligent systems across multi-cloud environments, bridging AI workloads with robust cloud infrastructure. You work with cross-functional teams to integrate AI features into user-focused products while upholding security and compliance. You’ll tackle scalable RAG pipelines, vector databases, and secure cloud deployments for a large user base. This opportunity suits a technical leader who thrives in agile settings and cares about mission-driven impact. Compensation / Benefits * Design, implement, and support multi-cloud services using Infrastructure as Code tools (Terraform, ARM templates, etc.) * Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines and semantic search systems * Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure * Build and maintain automation with PowerShell, Python, Azure CLI, Logic Apps, and Azure Functions * Configure and tune network security groups, application gateways, and other protective cloud controls * Manage compute, storage, networking, and database services across cloud environments with security/compliance * Collaborate with data scientists, UI/UX designers, and SMEs to integrate AI features into user-facing products * Establish and enforce security best practices for large language model implementations and data privacy Tasks * U.S. Citizenship * Ability to obtain DHS EOD Public Trust * BS/BA + 15 years or equivalency (AA + 17 years, MS + 12 years, or no degree + 21 years) * 10+ years of cloud/infrastructure engineering experience * Extensive hands-on cloud engineering experience in Azure, AWS, or GCP * Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems * Expert Terraform skills with IaC experience * Experience operating production Kubernetes clusters (AKS/EKS) for AI/LLM workloads * Experience with containers (Docker) and CI/CD * Python scripting/programming abilities Key requirements * flexible time off * robust learning resources * competitive compensation * healthcare and wellness benefits * retirement plans * time off benefits

Requirements

settings and tune network security groups, application gateways, and other protective cloud controls * Manage compute, storage, networking, and database services across cloud environments with security/compliance * Collaborate with data scientists, UI/UX designers, and SMEs to integrate AI features into user-facing products * Establish and enforce security best practices for large language model implementations and data privacy Tasks * U.S. Citizenship * Ability to obtain DHS EOD Public Trust * BS/BA + 15 years or equivalency (AA + 17 years, MS + 12 years, or no degree + 21 years) * 10+ years of cloud/infrastructure engineering experience * Extensive hands-on cloud engineering experience in Azure, AWS, or GCP * Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems * Expert Terraform skills with IaC experience * Experience operating production Kubernetes clusters (AKS/EKS) for AI/LLM workloads * Experience with containers aaa BS/BA and CI/CD * Python scripting/programming abilities Key requirements * flexible time off * robust learning resources * competitive compensation * healthcare and wellness benefits * retirement plans * time off benefits

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