AI​/ML Engineer, Senior

Senior AI/ML Engineer

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision‑making across the national security ecosystem. Your responsibilities span the entire AI/ML lifecycle, from data processing and model development to MLOps, system integration, and operational deployment.

• Design, develop, and implement AI/ML models, including NLP, LLM‑based pipelines, deep learning architectures, and computer vision models aligned with mission requirements.
• Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models.
• Develop end‑to‑end production systems, including microservices, APIs, automation frameworks, and cloud‑native or edge‑deployed AI services.
• Integrate AI/ML capabilities into operational environments with attention to security, reliability, observability, and performance.
• Conduct model optimization, tuning, versioning, and A/B testing to ensure robust mission impact.
• Apply modern software engineering patterns, including Python, Java, Scala, Rust, microservices, and distributed systems.
• Collaborate with multi‑disciplinary teams to identify mission needs, gather requirements, and define technical approaches.
• Prepare technical documentation, contribute to design reviews, and support customer‑driven requirements.

• 5+ years of experience developing ML models such as NLP, LLM, computer vision, deep learning, generative AI, or reinforcement learning.
• 5+ years of experience building AI/ML solutions in a microservice stack.
• Experience developing or maintaining production‑grade APIs, microservices, or distributed systems.
• Experience with data processing frameworks and scientific computing libraries such as Num Py, Pandas, PyTorch, Tensor Flow, or scikit‑learn.
• Experience designing, configuring, or deploying software systems in operational environments.
• Experience with CI/CD tooling, source control such as Git Lab, and containerization technologies such as Docker, Podman, or Kubernetes.
• Active TS/SCI clearance; willingness to take a polygraph exam.
• Bachelor’s degree in a STEM field.

• GPU programming experience, including CUDA or RAPIDS.
• Experience with AWS and containerizing models in a classified environment.
• Experience with LLM orchestration, RAG pipelines, grounding, or hallucination‑mitigation workflows.
• Experience with MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and GCP.
• Experience with automated testing tools and model evaluation frameworks.
• Master’s degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field.
• Industry certifications in AI/ML, Cloud, or Solution Architecture.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance is required.

The projected compensation range for this position is $99,000.00 to $ (annualized USD). This range reflects the typical salary for this role and is one component of the total compensation package, which includes health, life, disability, financial, retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.

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.