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ARA

Innovative Solutions to Complex Problems

Senior AI Systems Engineer

Systems EngineerSystems EngineerFull TimeRemoteSeniorTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

New Mexico + 1 moreAll locations: New Mexico | North Carolina

Posted

70 days ago

Salary

0

Seniority

Senior

Bachelor Degree8 yrs expEnglishCloudKubernetesPythonPyTorch

Job Description

Senior AI Systems Engineer

ARA

• 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.

Job Requirements

  • 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.

Benefits

  • Remote work options

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