Systems Engineer

• Lead deployment, integration, and operational support of AI platforms, tools, and services
• Design, implement, monitor, and optimize AI infrastructure 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 technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services
• Maintain observability through logging, metrics, performance monitoring, alerting, and incident response
• Ensure security, compliance, and governance requirements, including audits, vulnerability management, and secure architecture reviews
• Assess and implement enhancements for performance, scalability, reliability, and cost efficiency
• Collaborate across divisions to align technical implementations with mission and business objectives
• Evaluate emerging AI tools, frameworks, and infrastructure approaches
• Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures

ARA

Senior AI Systems Engineer