Agentic AI Developer

As an experienced engineer, you know that machine learning 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 critical advancements in the Department of War.

About the role

As a machine learning engineer on our Defense Technology team, you’ll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies and through the development, deployment, and management of AI agents. You’ll collaborate with data engineers and product owners to deliver world-class solutions to develop cutting-edge AI agents capable of solving our military's most challenging missions. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Requirements

• 3+ years of experience within Machine Learning engineering, data science, data engineering, or software development
• Experience developing applications using Large Language Models (LLMs)
• Experience with programming languages such as Python or Java
• Experience with software design patterns
• Knowledge of embedding models, vector databases, and semantic search
• Knowledge of AI safety, guardrails, and responsible AI practices
• Knowledge of agent planning, reasoning, and execution loops
• Ability to obtain a Secret clearance
• Bachelor's degree

Nice to have

• Experience working with Department of War data or on systems with advanced cyber security requirements
• Experience with Retrieval-Augmented Generation (RAG) architectures
• Experience with LangGraph
• Experience with model evaluation and AI quality metrics
• Secret clearance
• Master's degree in AI or a related field

Clearance

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

Benefits

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.

Pay

Salary is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Schedule

• 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.

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.