AI​/ML Engineer

AI/ML Engineer The Opportunity

As an experienced machine learning engineer, you understand that good software is more than just a good user experience. To compete in today’s technical landscape, mission‑oriented machine learning solutions must be architected, designed, and built to handle fast‑moving data, scale with infrastructure based on system usage, and expand based on evolving mission requirements. We are looking for an engineer to create AI and ML‑enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.

On our team, you will design, create, and implement complete AI systems that transform client operations, increase data accessibility, and optimize AI and ML systems. You will ensure that your solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you will deepen your skill set in software engineering, ML operations (MLOps), and software deployment and integration into a variety of mission environments.

• 3+ years of experience as a ML engineer building production‑grade ML solutions, including work involving LLMs, agents, or complex automation frameworks.
• 3+ years of experience working within data science or data research in a professional or academic environment, training or deploying models across multiple modalities of data.
• 3+ years of experience working in cloud environments, including AWS and Azure.
• 2+ years of experience deploying and integrating production‑grade ML models using Docker and Kubernetes.
• Experience with LLM, Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as Lang Chain, Lang Graph, PydanticAI, or llamaindex.
• Experience connecting agents to APIs, cloud platforms, or databases.
• Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, Lang Smith, or Phoenix.
• Experience evaluating architectural tradeoffs and designing robust service‑based software applications for scalable use.
• Ability to obtain a Secret clearance.
• Bachelor's degree.

• Experience with programming, including ML frameworks such as Tensor Flow, PyTorch, llama.cpp, and vLLM.
• Experience with client engagements, client‑facing project work, and business development.
• Experience with deep learning, computer vision, NLP, or signal processing projects.
• Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and related services.
• Ability to adapt in a rapidly changing environment.
• Excellent verbal and written communication skills.
• Excellent interpersonal, analytical, problem‑solving, and organizational skills.
• Secret clearance.
• Master's degree.

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

• 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.

Salary at Booz Allen is determined by various factors, including location, education, skills, and experience. The projected compensation range for this position is $86,800.00 to $ (annualized USD). This posting will close within 90 days from the posting date.

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.