Lead AI Platform Engineer

UPS

. Lead the architecture, design, and implementation of enterprise AI platform capabilities .

Posted 11/9/2026full-timeUnited StatesSenior💰 $108,600 - $231,084 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the architecture and implementation of enterprise AI platforms, with a strong focus on OpenShift, Kubernetes, and automation practices. Proven ability to mentor teams, drive platform reliability, and ensure alignment with enterprise technology standards.

Highest-signal resume keywords

OpenShift AdministrationKubernetes ExpertiseDevOps EngineeringAutomation with AnsiblePlatform Reliability Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPlatform EngineeringCloud EngineeringLinux System AdministrationContainerizationInfrastructure-as-CodeMonitoring and ObservabilityTroubleshootingPerformance ManagementCapacity Planning

Soft Skills

Technical LeadershipCommunicationCollaborationMentoringRisk Management

Tools & Technologies

Red Hat OpenShiftDockerPrometheusDynatraceGoogle Cloud PlatformJenkins PipelineAnsible TowerIstio Service MeshRHEL/CoreOSAdvanced Cluster Management

Industry Keywords

AI PlatformsIntelligent AutomationEnterprise Platform OperationsHigh-Performance ComputingPlatform SecurityGovernanceComplianceSite Reliability EngineeringModel ServingCloud DevOps

Tech Stack

Tools & technologies

AnsibleCloudCyber SecurityDockerGoogle Cloud PlatformJenkinsKubernetesLinuxOpenShiftPrometheusShell Scripting

About the role

Key responsibilities & impact

Lead the architecture, design, and implementation of enterprise AI platform capabilities
Provide technical leadership for OpenShift-based platform environments supporting AI and intelligent automation workloads
Define engineering standards, operational processes, and platform governance practices
Build and maintain scalable, secure, and highly available platform services
Develop automation for platform provisioning, deployment, upgrades, monitoring, and lifecycle management
Establish observability, logging, monitoring, capacity planning, and performance management processes
Partner with infrastructure, cybersecurity, architecture, and application teams to ensure alignment with enterprise technology standards
Support development teams in onboarding, deployment, and operationalization of AI-enabled solutions
Drive platform reliability through proactive risk management, incident response, root cause analysis, and continuous improvement
Evaluate emerging technologies and recommend platform enhancements that improve scalability, developer productivity, and operational efficiency
Mentor engineers and provide technical guidance across multiple teams and initiatives

Requirements

What you’ll need

Bachelor's degree in computer science, Engineering, Information Systems, or related field, or equivalent experience
10+ years of software engineering, platform engineering, cloud engineering, or Linux system administration experience
3+ years of technical leadership or project management experience
Strong hands-on experience administering Red Hat OpenShift container platforms, including OpenShift 3.x/4.x, Kubernetes, Docker, RHEL/CoreOS, and containerized application platforms
Experience with Istio Service Mesh, platform networking, container storage and enterprise platform operations
Experience building, operating, and supporting large-scale enterprise platforms with strong reliability, scalability, and operational practices
Experience developing code, using source code repositories, and implementing DevOps engineering concepts
Experience with automation and infrastructure-as-code practices using Ansible, Ansible Tower, shell scripting, and Jenkins Pipeline
Experience with monitoring, observability, logging, and operational support using Prometheus, Dynatrace, and related platform monitoring tools
Hands-on experience with Red Hat Advanced Cluster Management
Hands-on GCP experience with Google Kubernetes Engine, Cloud Logging and Monitoring, Compute Engine, and networking
Strong troubleshooting, communication, collaboration, and leadership skills
Proficiency with Google Cloud Platform compute, networking, IAM, and Cloud DevOps tooling, including CI/CD pipelines, Cloud Build, and artifact management
Preferred: experience supporting AI, machine learning, or intelligent automation platforms
Preferred: experience deploying and operating enterprise-scale model serving agent-based solutions
Preferred: experience supporting GPU-enabled workloads and high-performance computing environments
Preferred: experience with platform security, governance, compliance, and risk management
Preferred: experience with DevOps, Site Reliability Engineering, and platform engineering practices
Preferred: experience integrating enterprise platforms with identity, data, and application ecosystems

Benefits

Comp & perks

Annual short-term and/or long-term incentive compensation programs may be available (not guaranteed)
Medical/prescription drug coverage
Dental coverage
Vision coverage
Flexible Spending Account
Health Savings Account
Dependent Care Flexible Spending Account
Basic and Supplemental Life Insurance & Accidental Death and Dismemberment
Disability Income Protection Plan
Employee Assistance Program
401(k) retirement program
Vacation
Paid Holidays and Personal time
Paid Sick and Family and Medical Leave time as required by law
Discounted Employee Stock Purchase Program
Visa sponsorship for specific positions