Agentic AI & Machine Learning Engineer

The Opportunity: 

As an experienced machine learning engineer, you understand 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, seamlessly scale with infrastructure based on system usage, and expand based on evolving mission requirements. We’re looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the health sector. 

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

Join us. The world can’t wait. 

You Have: 

• 5+ years of experience designing, developing, and deploying AI or ML applications

• 1+ years of experience with multi-agent systems, orchestration frameworks, or agentic AI architecture 

• Experience integrating LLMs such as OpenAI, Anthropic, LLaMA, or Mistral into production systems using APIs, fine-tuning, and embeddings 

• Experience implementing agent communication protocols such as MCP, A2A, or tool integrations and designing stateful workflows with runtime adaptability 

• Experience working in cloud platforms such as AWS, Azure, or GCP, using Git for versioning and collaboration, and with MLOps practices, including containerization, orchestration, and CI/CD for AI workloads

• Experience incorporating external tools and APIs, including database, search, vector stores, or cloud services, into agent workflows for real-world problem solving 

• Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use 

• Ability to architect with Python and modern AI development stacks, including LangChain, LangGraph, or Haystack

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor's degree in a Computer Science, Machine Learning, or Data Science field

Nice If You Have: 

• Experience with Agile methodologies and best practices 

• Experience in federal or highly regulated environments with compliance standards such as FedRAMP or HIPAA

• Knowledge of data governance, compliance, and ethical AI practices

• Ability to implement controls for bias, lineage, and auditability

• Ability to adapt in a rapidly changing environment 

• Ability to optimize prompt engineering, tool selection, and orchestration strategies for cost and latency 

• Ability to collaborate across multi-disciplinary teams of data scientists, engineers, product owners, and domain experts 

• Possession of excellent written and verbal communication skills

• Possession of excellent interpersonal, analytical, problem-solving, and organizational skills 

• Master’s degree 

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen 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). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

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.