AI​/ML Engineer, Mid Jobs

AI/ML Engineer, Mid

Design and implement effective AI solution architecture utilizing approaches of various AI technologies and methods to address Marine Corps operational needs. Apply advanced technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and supervise team members, as needed. Contribute to the direction of critical solutions by applying best-fit ML algorithms and technologies. Help your clients navigate the landscape of ML algorithms, tools, and frameworks.

You Have:

• Experience with AI, data science, ML engineering, software engineering, data research, or data analytics
• Experience with software development or engineering, including in an academic or professional environment
• Experience with a programming language, including Python, C#, or Java
• Ability to create solutions within a collaborative, cross-functional team environment
• Knowledge of big data technologies such as Spark, Hadoop, or Databricks
• Ability to develop scripts and programs for converting various types of data into usable formats, and support the project team to scale, monitor, and operate data platforms
• Ability to obtain a Secret clearance
• Bachelor's degree

Nice If You Have:

• Experience with generative and agentic AI technologies such as LLMs, MCP, Lang Chain, or Lang Graph
• Experience with embedded systems programming in C, C++, or Rust
• Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis
• Ability to create software for retrieving, parsing, and processing structured and unstructured data
• Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation 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 $ (annualized USD).

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

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.