This role pays less than
51%
of similar roles. Most pay
$146,150–$202,800
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$174k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
793 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 768 roles with salary data.
As an AI Developer and Engineer, you will join a technical team focused on designing, deploying, and operationalizing high-performance AI systems within complex enterprise environments. You will architect scalable networks and computing platforms, build low-latency data pipelines, and configure distributed compute clusters to integrate large language models with legacy frameworks. Your daily work involves collaborating with data scientists and stakeholders to optimize network throughput while establishing MLOps best practices and ensuring security for model inference and training. The role requires expertise in Docker, Kubernetes, and cloud infrastructure such as AWS, Azure, or GCP. You will utilize skills in zero-trust architecture, secure API gateways, and high-speed networking fabrics. This position addresses the challenge of bridging advanced AI capabilities with existing enterprise systems to solve critical integration bottlenecks and enable data-driven decision making.
Design and deploy high-performance AI systems integrated into complex enterprise environments.
Architect scalable networks and computing platforms tailored for modern AI workloads.
Build low-latency data pipelines to support model inference and training.
Configure distributed compute clusters using containerization and orchestration tools like Docker and Kubernetes.
Integrate large language models (LLMs) with existing legacy architectures, APIs, and enterprise systems.
Implement MLOps best practices and CI/CD pipelines to scale intelligent systems.
Ensure enterprise-grade security, including zero-trust architecture and secure API gateways for AI deployments.
Optimize network throughput and cloud infrastructure for distributed processing and GPU instances.
What we're looking for
7+ years of experience in software development or systems engineering building and maintaining enterprise applications.
5+ years of experience supporting offensive or defensive cyber operations roles.
Experience integrating modern AI and Large Language Models into legacy architectures, APIs, and enterprise systems.
Experience with containerization, orchestration, and cluster management platforms including Docker and Kubernetes.
Knowledge of zero-trust architecture, secure API gateways, and data governance controls for AI/LLM deployments.
Knowledge of cloud infrastructure (AWS, Azure, or GCP) and network engineering fundamentals supporting model inference and training.
TS/SCI clearance with a polygraph.
Bachelor's degree; Master's degree in Computer Science, AI, or Systems Engineering (preferred); Professional Cloud or DevOps certifications (preferred).