AI and ML Engineer

The Opportunity: 

Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As a seasoned data professional, you know that machine learning (ML) is critical to understanding and processing massive datasets. We need your technical expertise to support our clients in applying artificial intelligence (AI) to accelerate effect generation on targets of opportunity. 

As a machine learning engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. Your ability to lead statistical analyses on business processes using machine learning techniques is key and makes you an integral part of delivering a customer-focused solution.  
 

In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with stakeholders, data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to enable innovative solutions to real world problems.  

If you have the drive to solve real-world challenges and define ML strategy in support of our clients, there’s a place for you here. At Booz Allen, you’ll make a difference with us, and, in return, we’ll invest in your future. 

Work with us to solve real-world challenges and define ML strategy for our clients.

Join us. The world can’t wait. 

You Have:  

• 5+ years of experience with AI and ML, including the development of prototypes

• 5+ years of experience in Python

• Experience in Generative AI, including LLMs, Fine-Tuning, or RAG implementation

• Experience with using AI frameworks, including Pytorch, Tensorflow, or Jax

• Experience with Generative AI and Agentic AI libraries, including LangChain, LangGraph, Hugging Face libraries, and cloud-based environments such as Google Vertex and AWS SageMaker

• Experience in working with Agile methodologies 

• Knowledge of modern software design patterns, including microservice design or Edge computing 

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

• Bachelor's degree in Science, Mathematics, Physics, or Computer Science

Nice If You Have:  

• Experience deploying models via REST APIs using frameworks such as FastAPI, Flask or Django

• Experience with data transfer, management, and orchestration frameworks such as Apache Kafka, Dask, Ray, and Apache Airflow

• Experience with managing Kubernetes container orchestration platforms, including Rancher, OpenShift, k3s, or Kubeadm 

• DHS Suitability

• Master’s degree in CS or Statistics preferred, Doctorate degree in CS or Statistics a plus

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.