Senior AI/ML Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Aurora, CO
Salary
$99,000–$225,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $162k
$80k most similar roles pay here $281k

This role pays less than 74% of similar roles. Most pay $162,000–$241,750 — the shaded band above. At the midpoint, this role pays about $162k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1240 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 817 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Senior AI/ML Engineer

As an AI/ML Engineer, Senior, you will join the team to design, build, and deploy advanced artificial intelligence and machine learning solutions intended to modernize mission systems and accelerate decision-making within the national security ecosystem. You will manage end-to-end processes including data processing, model development, MLOps, and integrating scalable capabilities into operational environments. Your daily work involves developing NLP, LLM-based pipelines, computer vision models, and microservices while utilizing Python, Java, Scala, or Rust. You will leverage tools such as PyTorch, TensorFlow, scikit-learn, NumPy, Pandas, Docker, Podman, Kubernetes, and GitLab. The role focuses on creating scientifically explainable, robust systems that integrate deterministic algorithms with probabilistic inference to solve complex problems in both synthetic and real-world sensing environments while ensuring high reliability and performance across distributed systems and cloud-native architectures.

What you'll do

  • Design and implement AI/ML models including NLP, LLM pipelines, deep learning, and computer vision.
  • Build and optimize scalable data pipelines for model training, evaluation, and continuous improvement.
  • Develop end-to-end production systems including microservices, APIs, and cloud-native or edge-deployed services.
  • Integrate AI/ML capabilities into operational environments while ensuring security, reliability, and performance.
  • Perform model optimization, tuning, versioning, and A/B testing to ensure robust mission impact.
  • Apply modern software engineering patterns using languages like Python, Java, Scala, or Rust.
  • Prepare technical documentation and support accreditation processes in classified environments.

What we're looking for

  • Bachelor's degree in a STEM field.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • 5+ years of experience developing machine learning models including NLP, LLM, CV, deep learning, generative AI, or reinforcement learning.
  • 5+ years of experience developing AI/ML capabilities to operate in a microservice stack.
  • Experience developing production-grade APIs, microservices, or distributed systems.
  • Experience with data processing frameworks and scientific computing libraries like NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn.
  • Experience with CI/CD tooling, source control (GitLab), and containerization technologies (Docker, Podman, or Kubernetes).
  • Master's degree in Computer Science, AI/ML Engineering, Data Science, or related STEM field (preferred); AI/ML, cloud, or solution architecture certifications (preferred).

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