Job Description

Remote Work:
Hybrid
Job Number:
R0187945
Location:
Washington,DC,US
Additional Locations:
  • McLean, Virginia, USA
AI Systems DevOps Engineer

The Opportunity: 

Are you looking for an opportunity to not just develop software, but to build a system that will have a positive impact? Are you a machine learning (ML) engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? We are looking for an engineer who embraces real-world AI problems and relishes the opportunity to apply the latest in technology. In an increasingly connected world, massive amounts of structured and unstructured data introduce new opportunities. These opportunities require developers capable of building the services and infrastructure necessary to realize the promise of ML and AI. As an AI Systems Engineer, you will transform cutting-edge ML capabilities into applications that solve global challenges.

You’ll work closely with your customers to understand their questions and needs, then collaborate with subject matter experts and an elite group of fellow engineers to deliver impactful solutions to the customer. You’ll identify the right combination of tools and frameworks, develop MLOps pipelines, and deliver robust ML applications that turn complex datasets into objective answers to help our military leaders make informed decisions in operational environments.

Join us. The world can’t wait.

You Have:  

  • 3+ years of experience in AI systems or software engineering for ML capabilities or applications, including turning requirements into implementation and evaluating architectural tradeoffs
  • 3+ years of experience in programming, including Python, Java, C, or C++ 
  • 2+ years of experience in containerization and container orchestration platforms, including Kubernetes
  • 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 or ML solutions that support operational business and mission use cases
  • Experience with event-driven architectures
  • Ability to obtain a security 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
  • Experience with data engineering and data workflows using cloud-native solutions or tools, including Airflow, Luigi, or Prefect
  • Knowledge of Databricks, PyTorch, Tensorflow, and Langchain
  • Ability to work in a fast-paced environment, with rapidly evolving requirements
  • Possession of excellent verbal and written communication skills
  • Possession of excellent interpersonal, analytical, problem-solving, and organizational skills
  • Secret clearance

Clearance:

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

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 $75,600.00 to $172,000.00 (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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