Senior AI Production Engineer & Platform SRE

Kansas Ag Connection; Kansas City (KS); On-site; USD 140,000 - 190,000; Full time

Job summary

Kansas Ag Connection seeks a senior technical leader to Deploy and operate AI-enabled platforms, aligning with enterprise IT standards across production environments. You will partner with platform engineering and IT operations to ensure services are production-ready, scalable, and cost-efficient.

Responsibilities include building automated pipelines, enforcing SRE practices, and delivering reliable AI services with robust monitoring, incident response, and governance.

Qualifications

• Undergraduate degree in computer science, information technology, or related curriculum (or equivalent combination of experience and education)
• 8 or more years of information technology, cloud or platform engineering, DevOps, SRE, infrastructure engineering, or related experience that includes experience deploying AI/ML platforms, MLOps, or production AI services
• Experience designing and managing CI/CD pipelines, automated deployments, and IaC solutions

Responsibilities

• Deploy AI/ML solutions into enterprise production environments using repeatable, low-risk release processes
• Build and maintain automated pipelines that support solution delivery across development, testing, and production
• Ensure all AI services meet enterprise standards for deployment, configuration, and change management
• Own day-to-day operations of AI-enabled platforms, ensuring availability, reliability, and performance of business-facing services
• Establish and enforce site reliability engineering (SRE) practices, including high availability and fault tolerance, capacity planning and auto-scaling, and redundancy and failover strategies
• Continuously optimize platform performance, resource utilization, and cost efficiency
• Implement and maintain monitoring, logging, and alerting aligned to enterprise ITOM practices
• Define and track service health, performance, and data quality metrics for AI-enabled services
• Configure proactive alerting for degradations or anomalies and integrate with enterprise event management platforms
• Develop and maintain operational dashboards and visibility tools for ongoing service assurance
• Provide production support for AI-enabled services, including incident triage and resolution, performing RCA, and implementing corrective actions
• Develop and maintain runbooks and support procedures to enable consistent issue resolution
• Partner with operations and service desk teams to ensure support readiness and knowledge transfer
• Integrate AI services into enterprise application and infrastructure ecosystems, ensuring compatibility with existing platforms
• Collaborate with solution delivery, infrastructure, and application teams to ensure services are fully operationalized, monitored, and supportable
• Ensure AI components behave as first-class enterprise services within broader application landscape
• Ensure all AI services are deployed and operated in alignment with enterprise security, compliance, and data protection standards
• Manage full operational lifecycle of AI-enabled services, including versioning and controlled releases, performance tuning, and continuous improvement of deploy/support processes
• Identify opportunities to automate and standardize platform operations to improve efficiency and reliability
• Serve as a subject matter expert in AI platform operations
• Lead or support resolution of major incidents and complex operational challenges
• Drive adoption of standardized operational practices, including runbooks and reliability engineering
• Provide guidance to project teams to ensure solutions are designed for production support from day one

Skills

AI/ML ops

SRE practices

Cloud & hybrid environments

CI/CD automation

Education

Undergraduate degree in CS/IT

8+ years IT/DevOps/SRE experience

Tools

CI/CD pipelines

Infrastructure as Code

Job description

Kansas Ag Connection seeks a senior technical leader to Deploy and operate AI-enabled platforms, aligning with enterprise IT standards across production environments. You will partner with platform engineering and IT operations to ensure services are production-ready, scalable, and cost-efficient.

Responsibilities include building automated pipelines, enforcing SRE practices, and delivering reliable AI services with robust monitoring, incident response, and governance.