Job Title: AI Cloud Platform Engineer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: None
Employee Type: Regular
Percentage of Travel Required: None
Type of Travel: None
The Opportunity
We are seeking an AI and Cloud Engineer to design, build, and scale our next-generation intelligent systems. In this role, you will bridge the gap between advanced artificial intelligence and robust cloud infrastructure. You will be part of a team responsible for architecting complex multi-agent flows, implementing enterprise-grade retrieval systems, and ensuring the secure deployment of AI workloads in cloud in systems that will grow to serve approximately 300,000 users. The ideal candidate is a self-motivated technical leader who thrives in agile environments and adapts quickly to emerging AI technologies.
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.
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Qualifications
Required
- 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
Desired
- Active Secret security clearance
- Previous DHS or DoD experience
