AI Engineer

AI Engineer Opportunity

As an experienced engineer, you will be critical to building enterprise‑wide AI solutions for national security customers. You will train, test, deploy, and maintain models that learn from massive datasets, define the direction of AI strategy, and collaborate with cross‑functional teams including data engineers, data scientists, solutions architects, and MLOps engineers.

• Train, test, deploy, and maintain AI models that learn from data.
• Apply best‑fit machine‑learning algorithms and technologies to solve real‑world challenges.
• Own and define direction of critical AI solutions, continuously optimizing performance, latency, throughput, and reliability.
• Collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world‑class solutions at massive scale.
• Guide clients through the landscape of AI/ML algorithms, tools, and frameworks.

• 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 integrating AI components, including embeddings, vector databases such as Lance
  
  DB, pgvector, Elasticsearch, and Retrieval‑Augmented Generation (RAG) pipelines.
• Ability to translate early‑stage prototypes into robust, scalable production systems.
• Ownership of system performance, continuously optimizing for latency, throughput, and high reliability.
• TS/SCI clearance.
• Bachelor's degree.

• Collaboration with MLOps, Dev Ops, and infrastructure engineers for seamless model deployment and scalability.
• Experience with AWS, Azure, or GCP cloud platforms and containerization technologies such as Docker or Kubernetes.
• Knowledge of 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.
• 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.
• 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.

Salary range: $99,000.00 to $ (annualized USD). This posting will close within 90 days from the posting date.

Health, life, disability, financial, and retirement benefits; paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week are eligible for the full benefit program.

• Remote:
  May be required to work in person at a Booz Allen or customer facility on occasion.
• Hybrid:
  Expected to work from a Booz Allen facility frequently and may be required to visit a customer facility.
• Onsite:
  Primarily performed at a Booz Allen office or customer facility.

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.