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.
Responsibilities:
- 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. Other duties as needed
Interviews are currently being conducted, for immediate consideration please apply. This position requires some onsite in Albuquerque, New Mexico with a preferred Hybrid work schedule.
- 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.