AI Developer and Engineer

Booz Allen Hamilton; Chantilly (VA); Hybrid; USD 113,000 - 257,000; Full time

Benefits offered by this job

Health benefits

Paid leave

Tuition assistance

Retirement plan

Work-life programs

Job summary

Join Booz Allen Hamilton to design, deploy, and operationalize high-performance AI systems for government and commercial clients. You’ll architect scalable networks and data pipelines, integrate LLMs with legacy architectures, and collaborate with data scientists and engineers to ensure security and reliability across diverse environments.

Lead a forward-thinking technical team, establish MLOps practices, and drive innovation while balancing architectural rigor to empower clients to make

Qualifications

• 7+ years of experience in software development or systems engineering building, deploying, and maintaining enterprise-grade applications.
• 5+ years of experience supporting offensive or defensive cyber operations roles.
• Experience integrating modern AI and Large Language Models (LLMs) into existing 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 services, such as AWS, Azure, or GCP, optimized for AI/ML and distributed processing such as GPU instances, vCPUs, and high-speed networking fabrics.
• Knowledge of network engineering fundamentals, low-latency protocols, system security, and data pipeline architectures supporting model inference and training.
• Ability to collaborate with cross-functional technical teams, translate complex client requirements into scalable system designs, and mentor junior engineers.
• TS/SCI clearance with a polygraph

Responsibilities

• Architect, design, and deliver high-performance AI systems for complex enterprise environments.
• Build low-latency data pipelines and distributed compute clusters for AI workloads.
• Integrate LLMs with legacy frameworks and APIs.
• Ensure enterprise-grade security and reliability across environments.
• Guide and mentor a technical team to deliver mission-driven AI capabilities.

Skills

Software dev

Systems engineering

Cyber ops

AI/LLMs integration

Containerization

Zero-trust security

Cloud infrastructure

Networking basics

Mentoring

TS/SCI clearance

Education

Bachelor's degree

Master’s degree

Cloud certification (AWS/Azure/CKA)

Tools

Docker

Kubernetes

Job description

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

Are you ready to build the infrastructure and systems that power next-generation artificial intelligence? Rapid advances in large language models (LLMs) and intelligent automation are transforming missions across the government and commercial sectors, but these models are only as capable as the architectures supporting them. At Booz Allen, you can apply your systems engineering, infrastructure design, and full-stack development experience to design, deploy, and operationalize high-performance AI systems that integrate seamlessly into complex enterprise client environments.

On our team, you’ll architect robust, scalable networks and computing platforms tailored for the demands of modern AI workloads. Using your technical depth and problem-solving drive, you’ll design low-latency data pipelines, configure distributed compute clusters, and bridge cutting-edge LLMs with existing legacy frameworks. You’ll collaborate closely with data scientists, systems engineers, and client stakeholders to evaluate emerging AI technologies, optimize network throughput, and ensure enterprise-grade security and reliability across diverse operational environments.

In this role, you’ll help guide a forward-thinking technical team as it delivers high-impact, mission-driven AI capabilities. By balancing innovation with architectural rigor, you will solve critical integration bottlenecks, establish MLOps best practices, and scale intelligent systems that empower clients to make data-driven decisions faster and more effectively.

Join us. The world can’t wait.

You Have:

• 7+ years of experience in software development or systems engineering building, deploying, and maintaining enterprise-grade applications
• 5+ years of experience supporting offensive or defensive cyber operations roles
• Experience integrating modern AI and Large Language Models (LLMs) into existing 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 services, such as AWS, Azure, or GCP, optimized for AI/ML and distributed processing such as GPU instances, vCPUs, and high-speed networking fabrics
• Knowledge of network engineering fundamentals, low-latency protocols, system security, and data pipeline architectures supporting model inference and training
• Ability to collaborate with cross-functional technical teams, translate complex client requirements into scalable system designs, and mentor junior engineers
• TS/SCI clearance with a polygraph

Nice If You Have:

• Experience with MLOps/LLMOps tools and continuous integration/continuous deployment (CI/CD) pipelines such as MLflow, Kubeflow, or GitLab CI
• Experience working with high-performance networking, software, and hardware
• Master’s degree in Computer Science, Artificial Intelligence, or Systems Engineering
• Professional certification in Cloud Architecture or DevOps such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or CKA

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

AI Developer and Engineer

The Opportunity:

Are you ready to build the infrastructure and systems that power next-generation artificial intelligence? Rapid advances in large language models (LLMs) and intelligent automation are transforming missions across the government and commercial sectors, but these models are only as capable as the architectures supporting them. At Booz Allen, you can apply your systems engineering, infrastructure design, and full-stack development experience to design, deploy, and operationalize high-performance AI systems that integrate seamlessly into complex enterprise client environments.

On our team, you’ll architect robust, scalable networks and computing platforms tailored for the demands of modern AI workloads. Using your technical depth and problem-solving drive, you’ll design low-latency data pipelines, configure distributed compute clusters, and bridge cutting-edge LLMs with existing legacy frameworks. You’ll collaborate closely with data scientists, systems engineers, and client stakeholders to evaluate emerging AI technologies, optimize network throughput, and ensure enterprise-grade security and reliability across diverse operational environments.

In this role, you’ll help guide a forward-thinking technical team as it delivers high-impact, mission-driven AI capabilities. By balancing innovation with architectural rigor, you will solve critical integration bottlenecks, establish MLOps best practices, and scale intelligent systems that empower clients to make data-driven decisions faster and more effectively.

Join us. The world can’t wait.

You Have:

• 7+ years of experience in software development or systems engineering building, deploying, and maintaining enterprise-grade applications
• 5+ years of experience supporting offensive or defensive cyber operations roles
• Experience integrating modern AI and Large Language Models (LLMs) into existing 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 services, such as AWS, Azure, or GCP, optimized for AI/ML and distributed processing such as GPU instances, vCPUs, and high-speed networking fabrics
• Knowledge of network engineering fundamentals, low-latency protocols, system security, and data pipeline architectures supporting model inference and training
• Ability to collaborate with cross-functional technical teams, translate complex client requirements into scalable system designs, and mentor junior engineers
• TS/SCI clearance with a polygraph
• Bachelor's degree

Nice If You Have:

• Experience with MLOps/LLMOps tools and continuous integration/continuous deployment (CI/CD) pipelines such as MLflow, Kubeflow, or GitLab CI
• Experience working with high-performance networking, software, and hardware
• Master’s degree in Computer Science, Artificial Intelligence, or Systems Engineering
• Professional certification in Cloud Architecture or DevOps such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or CKA

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.