Agentic AI / AI Ops Engineer – Platform Engineering
Skills
About the role
Career Area:
Engineering
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Role Summary
Provide technical leadership and hands-on delivery of Agentic AI and AI Ops solutions to enable intelligent, automated, and reliable platform operations. This role focuses on building production-grade AI systems and autonomous workflows that integrate with platform infrastructure and engineering tools to improve system reliability, operational efficiency, and developer experience.
Responsibilities
Design and implement agentic AI systems that plan, reason, and execute multi-step workflows across platform and portal ecosystems
Build and deploy AI-driven automation for operations (incident detection, triage, remediation, and monitoring)
Develop and productionize LLM-based applications and intelligent workflows integrated with APIs, tools, and enterprise systems
Integrate AI solutions with platform infrastructure (Kubernetes, CI/CD, observability, telemetry pipelines)
Drive proactive operations through predictive analytics and automated remediation capabilities
Establish scalable patterns for AI lifecycle (design deployment monitoring optimization)
Collaborate with platform, DevOps, SRE, and application teams to embed AI into engineering workflows
Provide technical leadership, mentor engineers, and define best practices for AI engineering and automation
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field
12+ years of overall industry experience.
Experience building and deploying AI/ML or Generative AI solutions in production
Strong software engineering fundamentals (system design, CI/CD, testing, monitoring)
Experience with cloud-native and distributed systems
Preferred Qualifications
Experience building agentic or LLM-based systems (e.g., multi-step workflows, tool integration, memory/context handling)
Strong programming skills (Python or similar)
Experience with:
Kubernetes and modern platform infrastructure
Observability (logs, metrics, traces) and telemetry systems
Workflow/orchestration frameworks (e.g., LangGraph, AutoGen, similar)
Understanding of AI Ops, SRE practices, and reliability engineering principles
Experience productionizing AI systems with focus on scalability, performance, and reliability
Compensation & Benefits:
Competitive salary based on degree and professional industry working experience. The Total Rewards package includes:
Competitive remuneration package
Attractive Bonus and Share options
Career development with global prospects
A strong commitment to safety and your wellbeing
An inclusive workplace culture focused on quality, customer service and the environment
A commitment to diversity and inclusion, equal opportunity, and equal outcome
SMART spending APP
The opportunity to do truly meaningful work in a supportive, constructive culture that encourages you to make the most of your talents.
Additional Information
Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.
For more information, visit caterpillar.com. To connect with us on social media, visit caterpillar.com/social-media
This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, Caterpillar offers many job opportunities which can be found through our employment website at www.Caterpillar.com/Careers
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position.
Posting Dates:
June 16, 2026 - June 25, 2026
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Questions about this role
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