Applied Research Associates Inc

Senior AI Systems Engineer

Applied Research Associates Inc • $100K — $140K *
Albuquerque, NM 87121In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, information technology, or related STEM field with 8-10 years of engineering experience.
  • 2+ years of experience in supporting AI/ML platforms and MLOps workflows.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks like PyTorch or Hugging Face.
  • Proficiency with DevOps practices including CI/CD pipelines and Kubernetes.
  • Familiarity with security frameworks like NIST and CMMC.
  • Strong communication skills for effective collaboration across teams.

Responsibilities

  • Lead deployment and operational support of AI platforms and tools.
  • Design and optimize AI infrastructure with engineering teams.
  • Operationalize machine learning workflows from development to deployment.
  • Build and maintain CI/CD and MLOps pipelines.
  • Implement infrastructure automation using scripting and configuration management.
  • Provide technical support and documentation for AI services.
  • Evaluate emerging AI tools for operational fit and long-term value.

Benefits

  • Remote, hybrid, or onsite work flexibility.
  • Preference for candidates near Albuquerque, NM, and Raleigh, NC.
Full Job Description
Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.


Experience and Skills Required:

  • 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.


Preferred:

  • 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


Education:

  • 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.

About Applied Research Associates Inc

Applied Research Associates, Inc. (ARA) is an employee-owned research and engineering company that provides technical solutions to complex problems in various fields, including defense, homeland security, intelligence, transportation, and energy. The company was founded in 1979 and is headquartered in Albuquerque, NM. ARA has over 1,600 employees and operates from more than 20 locations across the United States and Canada. The company's services include research and development, engineering, testing and evaluation, and consulting.
Learn more about Applied Research Associates Inc
Size
1,600 employees
Industry
Aerospace & Defense
Founded
1979
* Ladders Estimates

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