AI Engineer

AI Engineer 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.

In this role, you'll own and define the direction of critical solutions by applying best-fit ML algorithms and technologies, work with a large community of AI engineers, and collaborate with cross-functional teams to deliver solutions that process data at a massive scale.

• 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, Lang Chain or Llama Index AI orchestration frameworks, vLLM or TGI LLM inference engines, and tool calling or agentic workflows
• Experience integrating AI components, including embeddings, vector databases such as Lance
  
  DB, pgvector, or Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines
• Ability to translate early-stage prototypes into robust, scalable production systems
• Ability to take ownership of system performance, continuously optimizing for latency, throughput, and high reliability
• TS/SCI clearance
• Bachelor's degree

• Experience collaborating with MLOps, Dev Ops, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling
• Experience working with AWS, Azure, or GCP cloud platforms and containerization technologies, such as Docker or 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 architecture
• Security+ Certification

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

Annual salary range: $99,000.00 to $.

Benefits include health, life, disability, financial, retirement, paid leave, professional development, tuition assistance, work-life programs, and dependent care.

This posting will close within 90 days from the Posting Date.

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.

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. 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.

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.