AI Infrastructure Engineer

USA, VA, Arlington (1500 Crystal Dr), United States

Full Time Clearance required USD 75K - 172K

Booz Allen Hamilton

Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.

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AI Infrastructure Engineer

The Opportunity:
Imagine using artificial intelligence (AI) to improve critical IT operations. As a DevOps engineer, you know how to create efficient and effective solutions—so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we’re looking for a DevOps engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools—and get them into the hands of those who need them most. 

On our team, you’ll streamline IT operations to enhance platform productivity. You’ll automate operational workflows. This is your opportunity to deepen your experience in AIOps and help solve toughest problems.

Ready to transform with AIOps?

Join us. The world can’t wait.

You Have:  

  • 5+ years of experience designing, building, and monitoring AWS Infrastructure 

  • 5+ years of experience leveraging scripting languages, such as Python or Bash to automate administrative tasks   

  • Experience implementing AWS AI/ML and LLM solutions and model deployment in AWS 

  • Experience with managing systems in the cloud and infrastructure-as-code tools, such as Terraform and Ansible 

  • Experience with automating deployment of applications using GitLab or other CI/CD tools. 

  • Experience with AI/ML Frameworks, such as TensorFlow, or PyTorch 

  • Knowledge of networking, security, and system architecture

  • Secret clearance

  • HS diploma or GED

  • Ability to obtain DoD 8570 IAT Level II or IAT Level III Certification within 30 days of start date

Nice If You Have:  

  • Experience with data science tasks leveraging Python 

  • Experience with ETL tools, data warehousing, and data pipeline development  

  • Experience with LLM model registries, such as Hugging Face, embedding models, and vector databases in AWS 

  • Experience deploying containerized applications in an AWS environment

  • Knowledge of DoD artificial intelligence principles and practices  

  • Bachelor's degree

  • AWS Certified Machine Learning Specialty Certification 

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 $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.

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.

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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Tags: AIOps Ansible Architecture AWS CI/CD DataOps Data Warehousing DevOps ETL GitLab LLMs Machine Learning ML infrastructure Model deployment Python PyTorch Security TensorFlow Terraform

Perks/benefits: Career development Health care Medical leave

Region: North America
Country: United States

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