AI Product Full Stack Engineer

Job Number: R0222241

AI Product Full Stack Engineer
The Opportunity:

We are looking for a mission-driven AI Product Full Stack Engineer to help us bridge the gap between cutting-edge AI models and operational deployment. In this role, you'll work at the intersection of software engineering, DevSecOps, and data engineering-enabling our data science and modeling teams to rapidly field AI/ML solutions in real-world, mission-critical environments.

You'll be responsible for transforming research-grade models and analytic applications into robust, secure, and scalable products. This includes wrapping existing models in Python or R with front-end and back-end infrastructure, building pipelines that support LLM and advanced analytics integration, and navigating the security and infrastructure challenges of deploying in DoD cloud ecosystems. This is a hands-on engineering role with real product ownership and immediate impact.

Join us. The world can't wait.

You Have:

• 7+ years of experience in full stack application development, including both front-end and back-end frameworks
• 7+ years of experience operationalizing models or data-driven applications at enterprise scale
• 5+ years of experience building and maintaining cloud-native data pipelines, ETL/ELT workflows, or model-serving infrastructure
• Experience integrating Python or R-based analytic models into web or cloud-deployed applications
• Experience with containerization, such as Docker or Kubernetes, and CI/CD pipelines tailored for secure environments, such as DevSecOps
• Experience navigating accreditation, ATO, and infrastructure or security requirements for operational deployment
• Knowledge of cloud infrastructure in DoD or secure environments, such as AWS GovCloud or IL5/6
• Ability to collaborate with data scientists and modelers to productionize prototypes and research code
• Secret clearance
• Bachelor's degree in a Computer Science or Engineering field

Nice If You Have:

• 10+ years of experience with Python, SQL, or full stack frameworks like React, Flask, FastAPI, or Django
• 5+ years of experience working in Agile Scrum environments
• Experience deploying or supporting AI/ML solutions in cloud-native environments, such as AWS, Azure, or Google Cloud Platform
• Experience building or maintaining data infrastructure supporting LLMs, embeddings, or advanced analytics
• Experience with distributed data processing frameworks, such as Spark, Databricks, or Kafka
• Experience integrating or managing data lakes, warehouses, or NoSQL platforms, such as MongoDB, Cassandra, Redshift, or Snowflake
• Experience with streaming data, real-time analytics, or edge or cloud hybrid deployments
• TS/SCI clearance

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 $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.