Cloud Engineer — Secure AI & GenAI Platform

Booz Allen Hamilton; McLean (VA); On-site; USD 87,000 - 198,000; Full time

Job summary

Booz Allen Hamilton is seeking a skilled Cloud Engineer to design, build, and operate secure cloud platforms supporting AI workloads for mission-critical customers. You will work across AWS, Azure, or GCP, implementing automation, infrastructure as code, and scalable deployment pipelines. You will collaborate with application developers, data scientists, security teams, and customers to translate requirements into reliable solutions.

U.S. citizenship is required for facility work.

Qualifications

• 3+ years of experience developing and operating cloud solutions using Python and services in AWS, Azure, or GCP.
• 2+ years of experience in customer-facing technical support, platform engineering, or solutions engineering.
• 1+ years of experience implementing or supporting AI, machine learning, or generative AI solutions in a cloud environment.
• Experience with managed AI platforms and services such as Amazon Bedrock, Amazon SageMaker AI, Microsoft Foundry, Azure Machine Learning, Azure OpenAI, or Vertex AI.
• Experience implementing infrastructure as code and CI/CD using tools such as Terraform, AWS CloudFormation, AWS CDK, Bicep, GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
• Experience with containers and orchestration technologies such as Docker, Kubernetes, Amazon EKS, Azure Kubernetes Service, or Google Kubernetes Engine.
• Experience with cloud networking, identity and access management, secrets management, encryption, logging, monitoring, and secure software delivery practices.
• Knowledge of multi-account, multi-subscription, or multi-tenant cloud architectures and methods for isolating workloads and data.
• Bachelor's degree in Computer Science, Engineering, or Information Systems

Responsibilities

• Design, build, and operate secure cloud platforms and reusable tooling for generative AI, machine learning, and AI-enabled applications.
• Implement automation and infrastructure as code to streamline provisioning, configuration, model endpoint deployment, and environment promotion.
• Develop and maintain services and integrations for foundation model access, prompt and configuration management, retrieval-augmented generation, vector search, agent tools, and API gateways.
• Create CI/CD, MLOps, and GenAIOps workflows that support testing, evaluation, release management, rollback, and traceability for models, prompts, agents, and supporting infrastructure.
• Implement security controls for sensitive data and AI workloads, including least-privilege access, secrets management, encryption, network isolation, audit logging, content safeguards, and policy enforcement.
• Build observability for infrastructure, applications, model endpoints, and agents, including metrics for availability, latency, errors, token usage, cost, retrieval quality, and output quality.
• Evaluate and recommend cloud and AI services, models, frameworks, and tools based on mission fit, security, performance, reliability, interoperability, and cost.
• Optimize AI workloads for scalability, resiliency, inference performance, and cloud cost efficiency.
• Collaborate with customers, developers, data scientists, security teams, and platform teams to translate requirements into supported technical solutions.
• Create and maintain reference architectures, technical documentation, runbooks, knowledge base articles, and onboarding materials.

Skills

Python

Cloud platforms

Customer-facing

Education

Bachelor's degree in Computer Science, Engineering, or Information Systems

Tools

Terraform

AWS CloudFormation

GitHub Actions

Docker

Kubernetes

Job description

Booz Allen Hamilton is seeking a skilled Cloud Engineer to design, build, and operate secure cloud platforms supporting AI workloads for mission-critical customers. You will work across AWS, Azure, or GCP, implementing automation, infrastructure as code, and scalable deployment pipelines. You will collaborate with application developers, data scientists, security teams, and customers to translate requirements into reliable solutions.

U.S. citizenship is required for facility work.