Note: The job is a remote job and is open to candidates in USA. CACI International Inc. is a technology and national security company supporting critical government missions. The AI Cloud Platform Engineer will design, build, and scale intelligent systems by integrating artificial intelligence with secure, enterprise-grade cloud infrastructure. The role focuses on multi-agent architectures, retrieval-augmented generation, cloud automation, Kubernetes, vector databases, and secure deployment of AI workloads.
Responsibilities
- Design, implement, and support multi cloud services using Infrastructure as Code tools such as Terraform, ARM templates, or similar technologies
- Build, optimize, and maintain production-grade Retrieval-Augmented Generation pipelines and semantic search systems
- Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure
- Build and maintain automation using PowerShell, Python, Azure CLI, Logic Apps, and Azure Functions
- Configure and tune network security groups (NSGs), application gateways, and other protective cloud controls
- Manage compute, storage, networking, and database services across cloud environments while ensuring adherence to security and compliance frameworks
- Collaborate closely with data scientists, UI/UX designers, and subject matter experts to integrate AI features into user-facing products
- Establish and enforce security best practices for large language model implementations and data privacy
Skills
- U.S. Citizenship required
- Ability to obtain DHS EOD Public Trust
- BS/BA + 15 years or equivalency (AA + 17 years of experience, MS + 12 Years of experience or no degree + 21 years of experience)
- 10+ years of experience in cloud/infrastructure engineering
- Extensive hands-on cloud engineering experience in one or more of Azure, AWS, GCP
- Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems
- Expert Terraform skills; proven experience managing infrastructure with infrastructure as code
- Experience operating production Kubernetes clusters (AKS/EKS) supporting AI/LLM workloads
- Experience with containers (Docker) and CI/CD
- Python scripting/programming abilities
- Active Secret security clearance
- Previous DHS or DoD experience
- Experience with CSAM, RegScale, eMASS, or similar GRC tools
- Experience supporting emergency operations or disaster response missions
- Knowledge of cloud security and FedRAMP authorization processes
- Experience with continuous monitoring and automated security tools
- Strong communication skills for presenting to senior leadership
Benefits
- Flexible time off benefit
- Access to robust learning resources
- Healthcare benefits
- Wellness benefits
- Financial benefits
- Retirement benefits
- Family support benefits
- Continuing education benefits
- Time off benefits
Company Overview