AI Full Stack Developer, Mid

About the role

The Opportunity: 
As an AI Full Stack Developer, you’ll help design, develop, and deploy enterprise AI/ML solutions across the full application stack. You’ll work with data scientists, software engineers, DevOps teams, and stakeholders to build user-facing applications, productionize machine learning models, optimize pipelines, and implement responsible AI practices.

This is an opportunity to develop scalable AI/ML applications using modern frontend, backend, cloud, data, and machine learning technologies. You’ll contribute to secure, compliant, and maintainable solutions that support experimentation, model deployment, monitoring, and enterprise operations. Due to the nature of work performed within this facility, U.S. citizenship is required.

What You’ll Work On:

• Design, develop, test, and maintain full-stack AI/ML applications and services.
• Build frontend interfaces and user workflows for interacting with AI/ML capabilities.
• Develop backend services, APIs, and integrations using Python and frameworks such as FastAPI, Flask, or similar technologies.
• Build and manage AI/ML pipelines for experimentation, training, evaluation, and deployment.
• Operationalize machine learning models in production environments, including containers, APIs, and cloud services.
• Support the development of a Model Control Plane (MCP) for model registry, deployment, versioning, and monitoring.
• Integrate applications with relational databases, vector databases, feature stores, and distributed caching services.
• Implement authentication, authorization, secure API practices, and data protection safeguards.
• Develop automated tests across frontend, backend, API, data pipeline, and ML components.
• Apply responsible AI principles, including human-in-the-loop workflows, content moderation, explainability, and data privacy safeguards.
• Collaborate cross-functionally to ensure secure, compliant, maintainable, and scalable AI/ML deployments.

Join us. The world can’t wait. 

You Have:

• 6+ years of experience in full-stack software development
• 3+ years of experience with AI/ML engineering
• Experience in Python and developing backend services, APIs, or data-processing applications leveraging Java
• Experience with front end development using JavaScript or TypeScript and frameworks such as React, Angular, or Vue
• Experience designing and integrating REST or GraphQL APIs, microservices, and enterprise application integration
• Experience with machine learning frameworks such as TensorFlow, PyTorch, LangChain, OpenCV, OpenAI, AutoGen, CrewAI, or Scikit-learn
• Experience with cloud platforms such as AWS, Azure, or GCP and CI/CD and MLOps practices
• Experience working with relational databases and with NoSQL, vector database, or caching technologies
• Public Trust
• Bachelor’s degree in a Computer Science field

Nice If You Have:  

• Experience with feature stores, model registries, or model-serving platforms
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Experience with cloud-native application development and distributed systems
• Experience implementing OpenTelemetry or similar observability solutions
• Experience working in federal or other highly regulated environments
• Knowledge of vector databases such as Pinecone, Weaviate, FAISS, or similar technologies
• Knowledge of responsible AI frameworks, ethics, security, privacy, and compliance
• Ability to explore and learn new technologies
• Possession of excellent collaboration and problem-solving skills

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.


Skills Assessment
As part of Booz Allen’s skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.


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 $69,400.00 to $158,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.