Senior Artificial Intelligence Operations Specialist

Senior Artificial Intelligence Operations Specialist

The Agentic Artificial Intelligence Team within Boeing's Enterprise AI & Data Organization is seeking a Senior Artificial Intelligence Operations Specialist (AIOps) to join us working in North Charleston, SC; Hazelwood, MO; Tukwila, WA; Chicago, IL; Arlington, VA; Colorado Springs, CO; or Dallas, TX.

The Artificial Intelligence Specialist will deploy, scale, and monitor automated agent workflows across enterprise environments. This role supports the operational backbone of agentic AI solutions, helping ensure that automation is reliable, observable, secure, and ready for production use. The AIOps Specialist will work closely with developers, architects, platform teams, and business stakeholders to support the rollout of agent-based workflows and the systems they depend on.

This position focuses on automation, monitoring, analysis, and operational readiness. The AIOps Specialist will help set up development and production environments, support deployment activities, and build tools and processes that improve reliability and scalability. They will investigate technical and reliability issues, recommend process improvements, and help establish best practices for provisioning, configuration management, monitoring, and troubleshooting. This role also contributes to defining and tracking service level indicators, service level objectives, SLAs, and error budgets to ensure solutions meet performance and availability expectations. The ideal candidate is highly collaborative, technically strong, and comfortable working in fast-paced, short-duration engagements where speed, stability, and continuous improvement are essential.

Position Responsibilities:

• Build, test, and deploy automation, monitoring, and analysis solutions for agent workflows
• Support deployment and scaling of automated agent-based solutions across development and production environments
• Investigate technical, operational, and reliability issues during development and implementation
• Build and integrate software tools that improve system reliability, observability, and scalability
• Support setup of development and production environments, including deployment-related activities
• Develop best practices and methodologies for provisioning, configuration management, monitoring, and troubleshooting
• Collaborate with delivery teams to define and track service level indicators, service level objectives, SLAs, and error budgets
• Create and recommend process improvements that increase stability, efficiency, and operational readiness
• Contribute to the ongoing improvement of operational processes for automated agent workflows

Basic Qualifications (Required Skills/Experience):

• 5+ years of experience with software/application development process, including productionizing and deployment
• 5+ years of experience with automation and provisioning of cloud environments
• 5+ years of experience with deploying, scaling, and monitoring machine learning applications in a production environment
• 5+ years of experience with troubleshooting, researching and resolving technical issues involving integrated systems

Preferred Qualifications (Desired Skills/Experience):

• Experience supporting AI-enabled systems, automated workflows, or AIOps capabilities
• Experience with observability tools, monitoring frameworks, logging, or alerting solutions
• Experience with configuration management, provisioning, or release/deployment processes
• Experience improving reliability, scalability, or operational readiness of software platforms
• Experience working with service level indicators, SLAs, or error budgets
• Experience integrating tools and systems in enterprise environments
• Experience with cloud platforms, automation tooling, or modern deployment practices
• Strong analytical and problem-solving skills in fast-paced environments
• Experience collaborating across delivery, platform, and operations teams
• Familiarity with secure deployment practices and enterprise control requirements