Artificial Intelligence (AI) System Engineer

About the role

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

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.

Qualifications

- Albuquerque, NM

- onsite

- Permanent / Full Time

- 0 - 0 USD / Yearly

Skills

- 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.

Benefits

- Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan.

- All applicants applying for U.S. job openings must be legally authorized to work in the United States.

Pay

- 0 - 0 USD / Yearly

Schedule

- onsite