The Opportunity: 

As an experienced engineer, you know that artificial intelligence is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support an enterprise-wide application and data capability. As an artificial intelligence engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of artificial intelligence engineers across the company and collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world class solutions, including processing data and information at a massive scale. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks. 

Work with us to solve real-world challenges and define AI strategy for our national security customers.

Join us. The world can’t wait. 

You Have:  

• 3+ years of experience in software engineering, machine learning engineering, or AI systems development using Python

• Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in production environments

• Experience implementing advanced prompting strategies, AI orchestration frameworks such as LangChain or LlamaIndex, LLM inference engines such as vLLM or TGI, and tool calling and agentic workflows

• Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, and Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines

• Ability to translate early-stage prototypes into robust and scalable production systems

• Ability to take ownership of system performance, continuously optimizing for latency, throughput, and high reliability 

• Ability to obtain a Secret clearance

• Bachelor's degree

Nice If You Have:  

• Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling

• Experience working with cloud platforms such as AWS, Azure, and GCP and containerization technologies including Docker and Kubernetes

• Experience with underlying model architectures, inference optimization techniques, or fine-tuning open-source models

• Experience with distributed systems, streaming data such as Kafka, or integrating AI services into larger enterprise microservice architectures

• Secret clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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.

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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.