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Selected role

AWS Data AI Engineer, Senior

Booz Allen Hamilton Washington, DC, US

$77k - $176k Senior Full-time

AWS Data & AI Engineer, Senior

The Opportunity:

AI solutions only succeed when they are built on reliable data platforms and production-ready ML workflows. As an AWS Data and AI Engineer, you’ll enable intelligent, scalable systems by engineering the data pipelines and machine learning foundations that move models from experimentation to mission-ready deployment.

In this role, you’ll focus on designing, building, and operationalizing machine learning solutions on AWS, with a strong emphasis on Amazon SageMaker. You’ll work alongside solution architects, data scientists, and application teams to deliver secure, scalable ML pipelines—supporting everything from data ingestion and feature engineering to model training, deployment, and monitoring in compliance-driven federal environments.

This role is ideal for an engineer who enjoys hands-on development, building ML platforms, and growing into a senior AI or ML engineering role within AWS-centric ecosystems.

Work with us and help build the future of AI-enabled systems in the Federal Government.

Join us. The world can’t wait.

You Have:

4+ years of experience as a data engineer, ML engineer, or software engineer working with data-driven or ML-enabled systems
Experience designing and operating end-to-end ML workflows using Amazon SageMaker, including SageMaker Studio or Notebooks, training jobs and hyperparameter tuning, managed model endpoints and batch inference, SageMaker Pipelines, Model Registry, and experiment tracking
Experience building data pipelines and feature engineering workflows using AWS services, such as S3, Glue, Redshift, EMR, Athena, or Lambda
Experience with Python development for data processing and ML workloads and SQL
Experience deploying and managing containerized ML workloads using Docker, ECR, and AWS-managed compute
Knowledge of ML frameworks and libraries commonly used with SageMaker, such as PyTorch, TensorFlow, scikit-learn, or XGBoost
Knowledge of MLOps concepts, including CI/CD for ML, model versioning, monitoring, and retraining
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree in Computer Science, Engineering, or Data Science
Ability to obtain an AWS Certification, such as AWS Machine Learning – Specialty or AWS Solutions Architect – Associate, within 3 months of start date

Nice If You Have:

Experience implementing production MLOps pipelines using SageMaker Pipelines, Step Functions, or CI/CD tools
Experience supporting FedRAMP or ATO-driven cloud environments
Experience operationalizing models developed by data scientists or research teams
Experience working with OpenAI models or APIs, including integrating large language models into applications, building prompt-based workflows, or supporting GenAI use cases
Experience working in Agile or DevSecOps teams
Knowledge of GenAI or foundation model workflows using SageMaker, such as JumpStart, managed foundation models, or custom LLM deployments
Knowledge of IAM, VPC networking, encryption, and security controls for ML workloads in regulated environments

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 $77,600.00 to $176,000.00 (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.

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