Job Description

Remote Work:
Job Number:
ML and AI Engineer, Lead

The Opportunity: 

As an experienced AI and ML Ops engineer, you understand that machine learning is critical to processing and analyzing massive datasets. Your ability to build, deploy, and maintain AI and ML infrastructure makes you an integral part of delivering robust AI solutions to answer challenging problems and deliver customer-focused solutions. We need your technical expertise and domain knowledge to support the development of generative AI and natural language platforms. As an AI and ML Ops engineer in support of strategic innovations, you’ll be implementing cutting-edge ML and DevOps technologies to accelerate our clients’ understanding of their data.

In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll collaborate with a large community of data scientists, solution architects, software engineers, and product owners to deliver world-class solutions. Your advanced consulting skills and hands-on technical experience will guide clients as they navigate the constantly evolving landscape of various AI and ML tools and frameworks. You will also be involved in shaping team direction and will work without considerable direction, including mentoring and supervising team members.

Work with us to solve real-world challenges and define AI and ML Ops strategy for those in the healthcare domain and beyond.

Join us. The world can’t wait. 

You Have:  

  • 8+ years of experience in a research or professional role with artificial intelligence, ML Ops, DevOps, or data engineering

  • 5+ years of experience leveraging AI and ML Ops platforms and AI and ML CI/CD workflows to manage datasets and model training, deployment, and monitoring, such as SageMaker or Kubeflow

  • 3+ years of experience building and deploying containerized AI and ML applications or microservices using Docker and Kubernetes 

  • 3+ years of experience deploying AI and ML solutions built on frameworks, such as TensorFlow, PyTorch, or Transformers 

  • 3+ years of experience communicating AI and ML concepts and strategy to non-technical audiences

  • 3+ years of experience using Python, including TensorFlow, or PyTorch for production-grade work

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

  • Bachelor's degree  

Nice If You Have:  

  • Experience in a healthcare or public health domain

  • Experience with GPU-programming, including CUDA, RAPIDs, or similar  

  • Master's degree in Computer Science, Statistics, or related field  



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

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.  

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.  

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us. 


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 $125,600.00 to $285,000.00 (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.

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.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


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