Albuquerque, New Mexico, United States · Remote OK
Senior+$12M raised
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 …
Skills: AI Infrastructure, MLOps, CI/CD, Python, Kubernetes
Albuquerque, New Mexico, United States · Remote OK
Senior+$12M raised
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Albuquerque, New Mexico, United States · On-site
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Albuquerque, New Mexico, United States · Remote OK
Senior+$12M raised
Essential Functions: Partner with software developers, platform engineers, and IT staff to improve system design, operability, deployment safety, and production support readiness. Define and maintain operational standard…
Skills: Site Reliability Engineering, Kubernetes, Linux Systems Administration, Helm, Kustomize
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Albuquerque, New Mexico, United States · On-site
Senior+
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Albuquerque, New Mexico, United States · On-site
$135k–$216k/yr
Senior+
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Albuquerque, New Mexico, United States · On-site
$135k–$216k/yr
Senior+
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Radiant Plumbing & Air Conditioning
HVAC Install Apprentice
Albuquerque, New Mexico, United States · On-site
$45k–$65k/yr
Entry level
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Full-time
bachelor degree, postgraduate degree
Posted 40d ago
~40 hrs/week
Remote in Albuquerque, New Mexico, United States, Raleigh, North Carolina, United States
Responsibilities
Lead the deployment and operational support of AI platforms and infrastructure while optimizing machine learning workflows. Build MLOps pipelines and ensure system security, scalability, and compliance across enterprise AI services.
Requirements
Requires a Bachelor's degree in a STEM field with 8-10 years of engineering experience, including at least 2 years in AI/ML platforms. Proficiency in Python, Kubernetes, and DevOps practices is essential, with a preference for candidates holding a security clearance.
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.
Related keywords
AI SystemsMLOpsPyTorchHugging FaceKubernetesCI/CDPythonBashInfrastructure as CodeNISTCMMCOAuthLLMLangChainLangGraphMLflow
Applied Research Associates, Inc. (ARA) is the company that government and industry turn to for innovative technologies and solutions to problems that improve our safety, security, and way of life.
ARA is an international research and engineering company recognized for providing technically excellent solutions to complex and challenging problems in the physical sciences. We provide in-depth and diversified research, engineering, and technical support services.
Interested in a career at ARA? Visit www.ara.com to learn more about ARA or careers.ara.com to view current ARA job opportunities.
Offices: Suite A-220, Albuquerque, NM 87110, US · 4300 San Mateo Blvd., Suite A-220, Albuquerque, NM 87110, US · 119 Monument Place, Vicksburg, MS 39180-5156, US
National SecurityEnergy & EnvironmentInfrastructureand Health & Human SafetyTrainingHealth CareConsultingInfrastructureManufacturing
How many Engineering jobs are open in Albuquerque, NM right now?
There are currently 703 open engineering positions in Albuquerque, NM listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Albuquerque, NM?
Companies currently hiring include Vantage Systems, Inc., CACI International Inc, Edgewater Federal Solutions, Inc., AV, KBR, Inc., among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Albuquerque, NM?
Yes — 82 of the 703 open engineering positions offer remote or hybrid work (25 remote, 57 hybrid).
How do I apply for Engineering jobs in Albuquerque, NM?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.