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Robert Half Logo Robert Half · IT - Software Development

Artificial Intelligence (AI) Engineer

United States, Albuquerque · Job Posted June 29, 2026
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Job Description

We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.

Job Responsibility

  • Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards
  • Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance
  • Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support
  • Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight
  • Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools
  • Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities
  • Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments
  • Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews
  • Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems
  • Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value

Requirements

  • Bachelor’s degree in computer science, software engineering, information technology, or a related technical field, or equivalent practical experience
  • Must have experience deploying Kubernetes and MCP servers integrated with AI data sources
  • At least 2 years of hands-on experience supporting AI or machine learning platforms, model deployment, MLOps processes, or AI-focused infrastructure
  • Demonstrated experience deploying and managing server-based workloads in Kubernetes environments
  • Strong programming and automation capabilities using Python, Bash, or similar scripting languages
  • Solid understanding of DevOps and MLOps practices, including Git-based development, CI/CD pipelines, containers, and Kubernetes orchestration
  • Experience working with AI and machine learning frameworks such as PyTorch, Hugging Face, or related ecosystems
  • Familiarity with enterprise security and compliance requirements, including authentication approaches such as OAuth and regulated operating environments
  • Ability to communicate effectively with both technical and non-technical teams and collaborate across multiple functions
  • Secret Security Clearance – Active or Inactive or ability to get a clearance

What we offer

  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
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