Cloud Architect

Booz Allen Hamilton•Fort Meade, MD

1d•$86,900 - $198,000•Remote

About The Position

As an experienced cloud computing infrastructure architect, you know how to take advantage of cloud capabilities. Here, you’ll oversee our team of experienced professionals and use cutting-edge enterprise cloud platforms to guide your clients as they modernize their IT infrastructure and meet their most challenging missions. We’re looking for someone like you to help support national security efforts by accelerating the integration of Artificial Intelligence solutions with our client’s mission. You’ll work closely with AI Model Engineers, Data Engineers, software teams, and mission partners to design, integrate, and optimize the hybrid compute and storage environments that power AI information systems across operational, research, and enterprise settings. You’ll expand your expertise in automation and Infrastructure‑as‑Code while developing and managing modular, scalable architectures that seamlessly support AI models, data pipelines, and mission workflows. With access to advanced on‑premises and cloud environments, you’ll explore innovative approaches for building resilient AI infrastructure, enhancing monitoring and performance, and enabling real‑time situational awareness through a Common Operational Picture (COP). Whether modernizing existing mission systems or architecting new solutions end‑to‑end, you’ll contribute to secure, high‑availability platforms that drive critical national‑level operations. Grow your skills at the leading edge of innovation. Join us. The world can’t wait.

Requirements

6+ years of experience with cloud architecture
Experience designing, implementing, and managing on‑premises, cloud, and hybrid compute and storage architectures for mission or enterprise environments
Experience with major cloud providers, such as AWS or Azure, and hybrid architectures, including VPC/VNet design, IAM, networking, security groups, and storage solutions
Experience with Infrastructure‑as‑Code (IaC) tools such as Terraform, CloudFormation, or Ansible
Experience developing and maintaining CI/CD pipelines, automated deployments, and configuration management
Experience integrating systems in secure, classified or mission environments, including applying cybersecurity principles, Zero Trust concepts, and hardening standards
Experience with networking fundamentals, interconnectivity, APIs, and system integration
Knowledge of monitoring, logging, and observability tooling, such as CloudWatch, Prometheus, ELK/EFK, or Grafana, to ensure performance, reliability, and availability
TS/SCI clearance with a polygraph
HS diploma or GED

Nice To Haves

10+ years of experience with cloud architecture
Experience with LLMOps/MLOps frameworks, model registry tools, and AI pipeline orchestration, such as Kubeflow, MLflow, Vertex AI, or SageMaker
Experience with containerization and orchestration, such as Kubernetes, EKS/AKS/GKE, Rancher, or OpenShift
Experience performing interoperability testing across mission systems, third‑party APIs, and federated data platforms
Experience supporting environments with multi‑classification or cross‑domain data flows
Experience with Zero Trust architectures, FedRAMP/GovCloud requirements, or DoD‑specific cloud environments
Experience architecting solutions for edge compute, disconnected operations, or limited‑bandwidth environments
Ability to evaluate, recommend, and implement emerging compute, storage, and network technologies
Bachelor’s degree
Certifications such as AWS Solutions Architect, Azure Solutions Architect, Security+, CASP+, CISSP, or other cybersecurity certifications

Responsibilities

Oversee a team of experienced professionals using cutting-edge enterprise cloud platforms.
Guide clients in modernizing their IT infrastructure and meeting challenging missions.
Support national security efforts by accelerating the integration of Artificial Intelligence solutions.
Work closely with AI Model Engineers, Data Engineers, software teams, and mission partners.
Design, integrate, and optimize hybrid compute and storage environments for AI information systems.
Expand expertise in automation and Infrastructure‑as‑Code.
Develop and manage modular, scalable architectures for AI models, data pipelines, and mission workflows.
Explore innovative approaches for building resilient AI infrastructure.
Enhance monitoring and performance of AI infrastructure.
Enable real‑time situational awareness through a Common Operational Picture (COP).
Modernize existing mission systems or architect new solutions end‑to‑end.
Contribute to secure, high‑availability platforms for critical national‑level operations.