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About the Role
As an experienced AI/ML engineer, you will train, test, deploy, and maintain machine learning models and agentic applications that learn from data, retrieve governed knowledge, interact with approved tools and services, and support human decision-making. You will own and help define the direction of mission-critical solutions by applying best-fit ML algorithms, foundation models, retrieval architectures, and agent orchestration patterns. You will collaborate with a multidisciplinary team to deliver secure AWS-based capabilities that process structured and unstructured data, automate complex workflows, and produce traceable outputs. Your skills will guide clients as they navigate the landscape of AI/ML algorithms, tools, frameworks, evaluation methods, and production deployment patterns. Work with us to solve real-world challenges and define AI/ML strategy for national defense mission-support operations.
Responsibilities
- Train, test, deploy, and maintain machine learning models and agentic applications
- Apply best-fit ML algorithms, foundation models, retrieval architectures, and agent orchestration patterns
- Collaborate with data engineers, data scientists, software engineers, cloud and DevSecOps engineers, solutions architects, product owners, and mission subject matter experts
- Deliver secure AWS-based capabilities that process structured and unstructured data, automate complex workflows, and produce traceable outputs
- Guide clients as they navigate the landscape of AI/ML algorithms, tools, frameworks, evaluation methods, and production deployment patterns
Requirements
- 2+ years of experience with AI/ML engineering, data science, software engineering, data engineering, or cloud engineering
- Experience developing AI/ML applications using Python
- Experience developing agentic AI or large language model applications, retrieval-augmented generation systems, or predictive machine learning models
- Experience integrating AI/ML capabilities with APIs, data stores, cloud services, or enterprise applications
- Experience developing, deploying, or supporting applications on AWS
- Knowledge of AI/ML evaluation methods for model quality, retrieval relevance, task success, latency, cost, or system performance
- Knowledge of software engineering and DevSecOps practices, including version control, automated testing, CI/CD, containerization, and infrastructure as code
- Ability to translate operational needs into testable technical requirements
- Ability to collaborate with multidisciplinary engineering and mission teams
- Ability to obtain a Secret clearance
- Bachelor’s degree
Skills
- AI/ML engineering
- Data science
- Software engineering
- Data engineering
- Cloud engineering
- Python
- Agentic AI
- Large language models
- Retrieval-augmented generation
- Predictive machine learning
- API integration
- Data store integration
- Cloud service integration
- Enterprise application integration
- AWS deployment
- AI/ML evaluation methods
- Software engineering practices
- DevSecOps practices
- Version control
- Automated testing
- CI/CD
- Containerization
- Infrastructure as code
Location
- Remote
- Hybrid
- Onsite
Work Type
- Full-time
- Part-time
Experience Level
- 2+ years of experience
Education Level
- Bachelor’s degree
Salary/Compensations
- $99,000.00 - $225,000.00
Benefits
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
About the Company
- Booz Allen is a company that celebrates your contributions, provides you with opportunities and choices, and supports your total well-being.
- AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools.
- Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually.
Equal Opportunity
- 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.