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Ai Engineer Developer Jobs in Albuquerque, NM (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/yr

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 ...

Indica Labs

DevOps Engineer

Albuquerque, NM · On-site

$51.25 - $70/hr

About Indica Labs Indica Labs is a leading developer of digital pathology software used in cancer ... Solid understanding of AI and AI coding assistants and where they add value. * Working experience ...

Indica Labs

DevOps Engineer

Albuquerque, NM

$51.25 - $70/hr

About Indica Labs Indica Labs is a leading developer of digital pathology software used in cancer ... Solid understanding of AI and AI coding assistants and where they add value. * Working experience ...

Indica Labs

DevOps Engineer

Albuquerque, NM · On-site

$51.25 - $70/hr

About Indica Labs Indica Labs is a leading developer of digital pathology software used in cancer ... Solid understanding of AI and AI coding assistants and where they add value. * Working experience ...

Indica Labs

DevOps Engineer

Albuquerque, NM · On-site

$51.25 - $70/hr

About Indica Labs Indica Labs is a leading developer of digital pathology software used in cancer ... Solid understanding of AI and AI coding assistants and where they add value. * Working experience ...

Berriehill Research

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...

ARA

Senior Site Reliability Engineer

Albuquerque, NM · On-site

$52 - $69.25/hr

Experience supporting DevOps tooling such as GitLab, Artifactory, Jira, Confluence. * Experience ... Experience managing AI tooling on Kubernetes including MCP Servers, LLM platforms (vLLM, Ollama ...

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Ai Engineer Developer information

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How much do ai engineer developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai engineer developer in Albuquerque, NM is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $65.96 per hour, depending on experience, location, and employer.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

What job categories do people searching Ai Engineer Developer jobs in Albuquerque, NM look for? The top searched job categories for Ai Engineer Developer jobs in Albuquerque, NM are:
Ai Engineer Developer jobs near you

Senior AI Systems Engineer

Berriehill Research

Albuquerque, NM • On-site, Remote

$95K - $130K/yr

Full-time

Re-posted 7 days ago

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.

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