AI Systems Engineer

AI Systems Engineer

The Opportunity: 

As a programmer, 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 global challenges. As a machine learning engineer at Booz Allen, you’ll train, test, deploy, and maintain models that learn from data.  

In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, and product owners to deliver world-class solutions to enterprise-scale AI/ML. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. 

Join us. The world can’t wait. 

You Have:  

• 3+ years of experience in programming, including Python, Java, or C/C++  

• 3+ years of experience with software engineering

• 2+ years of experience in containerization and container orchestration platforms, including Kubernetes or Docker

• 2+ years of experience with DevOps and automation frameworks, including Ansible, Jenkins, Terraform, Tekton, GitLab CI/CD, or GitHub Actions to streamline the software delivery process in event-sourced applications 

• Experience building APIs to share data and calling APIs within applications or software 

• Experience building data science and AI/machine learning solutions that support operational business and mission use cases 

• Experience with event driven architectures  

• Ability to turn requirements into implementation and evaluating architectural tradeoffs 

• Secret clearance

• Bachelor’s degree

Nice If You Have:  

• Experience deploying and managing data brokering solutions including Kafka, Red Panda, and Confluent

• Experience with client engagements, client-facing project work, and business development

• Knowledge of Databricks, PyTorch, Tensorflow, LLM frameworks, such as LangChain or Llamaindex

• Ability to adapt in a rapidly changing environment

• Excellent verbal and written communication skills  

• Excellent interpersonal, analytical, problem-solving, and organizational skills

• Master’s degree in Computer Science or Data Science

Clearance: 

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

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 $61,900.00 to $141,000.00 (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.