Senior AI Systems Engineer

• Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

Originally posted on Himalayas

• Advanced degree or certifications related to AI or machine learning.
• Experience integrating AI models into scientific workflows.
• Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
• Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
• Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
• Experience with GPU-based systems or running AI models in HPC environments.
• Experience writing and deploying MCP Servers on Kubernetes
• DoD experience
• Secret Security Clearance – Active or Inactive
• Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience.
• 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
• Strong coding and automation skills in Python, Bash, or similar scripting languages.
• Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
• Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
• Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
• Familiarity with security frameworks and compliance standards such as NIST and CMMC.
• Familiarity with AI security functionality in enterprise environments including OAuth
• Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.