Agentic AI AI Ops Engineer – Platform Engineering

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining 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 dontjust 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

• Bachelors 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.

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