Caterpillar Inc. is a global manufacturing company that develops heavy equipment and engines for construction, mining, energy, and other infrastructure-focused industries. Its product portfolio includes excavators, dozers, articulated trucks, and power systems, supported by advanced technology and a worldwide dealer network. Founded in 1925, the company combines long-standing industrial expertise with a focus on improving productivity and advancing more sustainable equipment and operations.
Senior Principal Architect, Applied AI
Lead Caterpillar’s enterprise AI architecture, designing and deploying agentic systems for a global construction and mining equipment manufacturer. Shape AI orchestration and MLOps strategy across the business.
United States
Colorado
Illinois
Texas$172,630 – $258,950 / year
On-siteFull-timeSeniorEnglish RequiredArtificial IntelligenceDescription
- Create architecture plans that apply agentic AI systems and patterns to business challenges
- Design AI application infrastructure, including orchestration, tool integrations, data retrieval, and testing
- Lead evaluation and deployment of emerging AI technologies and frameworks
- Turn business needs into AI solution designs
- Partner with IT, business functions, product teams, and cross-functional groups
- Advise teams as a technical leader on AI solution design
- Shape Caterpillar’s AI strategy and deploy AI-powered solutions across the enterprise
- Offer practical guidance on the fast-changing AI landscape
- Guide architecture decisions across teams and explain complex technical concepts to non-technical stakeholders
Requirements
- Strong command of modern AI/ML architectures, including transformer models, retrieval-augmented generation (RAG), agent frameworks, and model orchestration patterns
- Practical experience with Azure OpenAI Service, AWS Bedrock, and Google Vertex AI
- Ability to design multi-cloud or hybrid solutions
- Expertise in requirements analysis
- Expertise in data architecture
- Expertise in target architecture
- Strong grounding in MLOps practices, including model versioning, deployment pipelines, monitoring, and governance
- Extensive experience designing and building agentic AI systems, including multi-agent architectures, tool use, and orchestration patterns
- Experience with LangChain, LangGraph, Semantic Kernel, or comparable orchestration tools
- Strong understanding of LLM capabilities, limitations, and deployment patterns, including prompt engineering, RAG, function calling, and context engineering
- Experience with vector databases, embedding models, orchestration layers, and observability tools
- Broad software engineering experience, including API design, authentication and authorization patterns, and enterprise integration
- Experience with MLOps/LLMOps, model monitoring, or production AI systems at scale
- Must work onsite five days per week
- Visa sponsorship is not available for this position
- Successful completion of a drug screen is required
Benefits
- Medical, dental, and vision coverage
- Paid time off, including vacation, holidays, and volunteer time
- 401(k) savings plans
- Health Savings Account (HSA)
- Flexible Spending Accounts (FSAs)
- Health lifestyle programs
- Employee Assistance Program
- Voluntary benefits and employee discounts
- Career development opportunities
- Incentive bonus
- Disability benefits
- Life insurance
- Parental leave
- Adoption benefits
- Tuition reimbursement
- Relocation assistance is available for this position