Agentic AI / AI Ops Engineer – Platform Engineering

Career Area:

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

Posting Dates:

Caterpillar is an Equal Opportunity Employer.  Qualified applicants of any age are encouraged to apply

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