Principal AI Software Engineer TS​/SCI w​/Poly

Principal AI Software Engineer TS/SCI w/Poly

Amentum is seeking a motivated Principal AI Software Engineer to support the Corporate Directory Services mission. Engineer will work closely with mission stakeholders to lead the development of advanced Artificial Intelligence and Machine Learning (AI/ML) solutions, intelligence mission workflows, and emerging analytic capabilities. This role is responsible for designing, developing, prototyping, and operationalizing AI-enabled applications that automate complex intelligence processes, discover emergent intelligence value, and accelerate mission outcomes.

The candidate will work across multiple technical domains including software engineering, data science, machine learning, and large language model (LLM) integration to deliver innovative capabilities from proof-of-concept through operational deployment.

Collaborate closely with customers to drive the rapid development, evaluation, and transition of AI/ML-enabled mission capabilities that enhance operational analysis and intelligence workflows. Leverage emerging technologies, scalable software architectures, and advanced analytics to automate discovery, accelerate insight generation, and deliver production-ready solutions across diverse mission domains. Shape technical strategy and best practices to ensure effective deployment, sustainment, and evolution of AI-enabled mission systems.

Proficient in current AI/ML technologies such as classification, clustering, collaborative filtering, search, and retrieval using techniques such as but not limited to deep neutral networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc.

Experience in current large language models (LLM) for representative and generative tasks. equivalent.

Proficiency with object-oriented languages (JAVA, Python) and experience with Jupyter Notebooks.

TS/SCI Poly

A Doctoral degree plus 7 years of relevant experience, or a Master's degree plus 9 years of relevant experience, or a Bachelor's degree plus 11 years of relevant experience, or an Associate's degree plus 13 years of relevant experience, or a High School diploma/GED plus 15 years of relevant experience

Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP) and other recent technologies supporting agentic AI.

Foundational knowledge of statistics related to parametric probability distributions, non-parametric probability distributions, Bayesian analysis, and covariance matrices.

Proficiency in agentic systems that can automatically carry out mission goals with limited supervision.

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The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Our health and welfare benefits are designed to support you and your priorities. Offerings include:
Health, dental, and vision insurance;
Paid time off and holidays;
Retirement benefits (including 401(k) matching);
Educational reimbursement;
Parental leave;
Employee stock purchase plan;
Tax-saving options;
Disability and life insurance;
Pet insurance

Note:

Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.