Sr. Systems Engineer - AI

Job DescriptionServe as a senior-level technical leader within IT Solutions Delivery, responsible for deploying, operating, and continuously improving production AI-enabled platforms and services that support critical business applications.This role ensures that AI/ML capabilities are delivered into production environments using the same operational rigor, reliability standards, and support models as enterprise IT infrastructure, enabling consistent uptime, performance, and scalability. The engineer partners closely with application teams, platform engineering, and IT operations to ensure AI services are production-ready, supportable, and aligned to enterprise operational standards.Job Duties and Responsibilities:Deploy AI/ML solutions into enterprise production environments using repeatable, low-risk release processesBuild and maintain automated pipelines that support solution delivery across development, testing, and productionEnsure all AI services meet enterprise standards for deployment, configuration, and change managementOwn day-to-day operations of AI-enabled platforms, ensuring availability, reliability, and performance of business-facing servicesEstablish and enforce site reliability engineering (SRE) practices, including high availability and fault tolerance, capacity planning and auto-scaling, and redundancy and failover strategiesContinuously optimize platform performance, resource utilization, and cost efficiencyImplement and maintain monitoring, logging, and alerting aligned to enterprise ITOM practicesDefine and track service health, performance, and data quality metrics for AI-enabled servicesConfigure proactive alerting for degradations or anomalies and integrate with enterprise event management platformsDevelop and maintain operational dashboards and visibility tools for ongoing service assuranceProvide production support for AI-enabled services, including incident triage and resolution, performing root cause analysis (RCA), and implementing corrective and preventative actionsDevelop and maintain runbooks and support procedures to enable consistent issue resolutionPartner with operations and service desk teams to ensure support readiness and knowledge transferIntegrate AI services into enterprise application and infrastructure ecosystems, ensuring compatibility with existing platformsCollaborate with solution delivery, infrastructure, and application teams to ensure services are fully operationalized, properly monitored, and supportable through standard IT processesEnsure AI components behave as first-class enterprise services within the broader application landscapeEnsure all AI services are deployed and operated in alignment with enterprise security, compliance, and data protection standardsManage the full operational lifecycle of AI-enabled services, including versioning and controlled releases, performance tuning and optimization, and continuous improvement of deployment and support processesIdentify opportunities to automate and standardize platform operations to improve efficiency and reliabilityServe as a subject matter expert in AI platform operationsLead or support resolution of major incidents and complex operational challengesDrive adoption of standardized operational practices, including runbooks, and reliability engineeringProvide guidance to project teams to ensure solutions are designed for production support from day oneJob RequirementsEducation and ExperienceUndergraduate 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, site reliability engineering (SRE), infrastructure engineering, application operations, or related experience that includes experience:supporting AI/ML platforms, machine learning operations (MLOps), AI-enabled applications, large-scale data platforms, or other advanced analytics environments in productiondeploying, monitoring, and supporting business-critical applications in cloud-based and hybrid enterprise environmentsdesigning and managing CI/CD pipelines, automated deployment processes, and infrastructure-as-code solutionspartnering with application development, infrastructure, security, and operations teams to operationalize new technologies and servicesserving as a technical lead, senior engineer, or escalation point for complex production issuesCertification and/or License – may be required during course of employmentKnowledge, Skills, and AbilitiesDeep understanding of managing supported systems in a large-scale environmentSolid understanding of AI/ML operational practices, including model deployment, model monitoring, inference services, version management, and AI platform lifecycle managementStrong understanding of backup technologies and cloud technologiesStrong scripting and automation skillsStrong collaboration skills with application development, platform engineering, cybersecurity, infrastructure, and service desk teamsStrong problem solving and analytical skills with the ability to quickly isolate problems, collect data, establish facts, and draw valid conclusions; able to perform root cause analysis and implement sustainable corrective and preventive actionsAble to deploy and maintain highly available, scalable, and supportable AI-enabled services in production environmentsAble to automate operational processes, platform provisioning, deployments, monitoring, and recovery activitiesAble to serve as the senior technical escalation point for critical incidents and complex operational challengesAble to influence teams and drive adoption of enterprise operational standards and best practicesAble to communicate complex technical concepts to both technical and non-technical stakeholdersAble to prioritize multiple operational demands in fast-paced production environmentsAble to work independently with limited direction while maintaining accountability for enterprise-critical serviceMust be able to read, write and speak EnglishAn Equal Opportunity Employer including Disabled/VeteransJob DetailsJob Type: Full TimeCategory: Information Technology