AI/ML Engineering Lead — Enterprise Solutions

Booz Allen Hamilton; Huntsville (AL); Hybrid; USD 112,800 - 257,000; Full time

Job summary

Booz Allen Hamilton seeks an AI and ML Engineer, Lead, to design and implement effective AI solution architectures addressing client needs while aligning with organizational goals and ethics. You will work on complex problems, apply leading‑edge principles, and mentor teams in technical and professional skills.

The role emphasizes hands-on development in Python/TypeScript and the ability to operate with limited supervision, with opportunities to advance enterprise-scale ML applications and data

Qualifications

• 3+ years of experience in AI/ML engineering, software engineering, or data science.
• 3+ years designing, developing, operating, and maintaining complex software or ML applications at enterprise scale.
• 1+ year of experience creating software for retrieving, parsing, and processing structured and unstructured data for ML workflows.
• 1+ year of experience building scalable data pipelines, ETL/ELT workflows, or model training and deployment pipelines.

Responsibilities

• Design and implement AI solution architectures addressing client business problems.
• Mentor or supervise employees in technical and company competencies.
• Operate with latitude for unreviewed action and contribute to new principles and concepts.

Skills

AI/ML engineering

Software engineering

Data science

ETL pipelines

Python

TypeScript

Security clearance

Mentoring

Education

Bachelor's degree in CS/DS/Math

Tools

Palantir Foundry

Spark/Databricks

Alteryx

RDS/PostgreSQL/Snowflake

Job description

Booz Allen Hamilton seeks an AI and ML Engineer, Lead, to design and implement effective AI solution architectures addressing client needs while aligning with organizational goals and ethics. You will work on complex problems, apply leading‑edge principles, and mentor teams in technical and professional skills.

The role emphasizes hands-on development in Python/TypeScript and the ability to operate with limited supervision, with opportunities to advance enterprise-scale ML applications and data