AI Engineer

About the role

As an experienced engineer, you’ll apply your technical knowledge and problem-solving skills to support an enterprise-wide application and data capability. In this role, you’ll train, test, deploy, and maintain AI models that learn from data, defining the direction of critical solutions by applying best-fit machine learning algorithms and technologies. You’ll collaborate with a large community of AI engineers, data engineers, data scientists, solutions architects, and MLOps engineers to deliver world-class solutions, including processing data and information at a massive scale. Your expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks, helping solve real-world challenges and define AI strategy for national security customers.

Responsibilities

• Build, deploy, and maintain LLM-powered systems and complex data pipelines in production environments
• Implement advanced prompting strategies, LangChain or LlamaIndex AI orchestration frameworks, vLLM or TGI LLM inference engines, and tool calling or agentic workflows
• Integrate AI components, including embeddings, vector databases (e.g., LanceDB, pgvector, Elasticsearch), and Retrieval-Augmented Generation (RAG) pipelines
• Translate early-stage prototypes into robust, scalable production systems
• Own system performance, continuously optimizing for latency, throughput, and high reliability

Requirements

• Experience in software engineering, ML engineering, and 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, LangChain or LlamaIndex AI orchestration frameworks, vLLM or TGI LLM inference engines, and tool calling or agentic workflows
• Experience integrating AI components, including embeddings, vector databases (e.g., LanceDB, pgvector, 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

Nice to have

• Experience collaborating with MLOps, DevOps, 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 (e.g., Kafka), or integrating AI services into larger enterprise microservice architectures
• Security+ Certification

Benefits

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, which include:

• Health, life, disability, financial, and retirement benefits
• Paid leave, professional development, and tuition assistance
• Work-life programs and dependent care
• Recognition awards program for exceptional performance and superior demonstration of company values

Pay

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). Salary is determined by various factors, including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements.

Schedule

This role may be remote, hybrid, or onsite:

• Remote: Primarily virtual, with occasional in-person work at a Booz Allen or customer facility.
• Hybrid: Frequent work from a Booz Allen facility, with potential visits to customer sites as needed.
• Onsite: Work primarily performed at a Booz Allen office or customer facility, collaborating directly with colleagues and customers.

Employees working virtually are generally expected to have their cameras on during meetings to support engagement and effective communication.

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