Lead AI Software Engineer — ML/LLM for Intelligent Workflows

Amentum; Fort Meade (MD); On-site; USD 200,000 - 255,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Educational reimbursement

Paid time off

Parental leave

Employee stock purchase plan

Tax-saving options

Disability and life insurance

Pet insurance

Job summary

Amentum seeks a Principal AI Software Engineer in Fort Meade to lead AI/ML-enabled mission capabilities from concept to deployment. You will collaborate with stakeholders across software, data science, ML, and LLM integration to design and operationalize AI-enabled applications that automate complex intelligence processes.

Responsibilities include shaping technical strategy, enabling rapid prototyping, and delivering production-ready AI solutions across multiple domains while maintaining a

Qualifications

• Proficient in current AI/ML technologies (classification, clustering, retrieval, etc.).
• Experience with large language models for representative and generative tasks.
• Proficiency with object-oriented languages (Java, Python) and Jupyter Notebooks.

Responsibilities

• Collaborate with customers to rapidly develop and transition AI/ML-enabled mission capabilities.
• Leverage scalable architectures and analytics to automate discovery and accelerate insights.
• Shape technical strategy for deployment, sustainment, and evolution of AI-enabled mission systems.
• Ensure production-ready solutions across diverse mission domains.

Skills

AI/ML tech

LLMs

Java

Education

Doctoral degree

Master's degree

Bachelor's degree

Associate's degree

High School diploma

Tools

Jupyter Notebooks

Job description

Amentum seeks a Principal AI Software Engineer in Fort Meade to lead AI/ML-enabled mission capabilities from concept to deployment. You will collaborate with stakeholders across software, data science, ML, and LLM integration to design and operationalize AI-enabled applications that automate complex intelligence processes.

Responsibilities include shaping technical strategy, enabling rapid prototyping, and delivering production-ready AI solutions across multiple domains while maintaining a