Own the Emerging Technology Frontier: Lead Caterpillar’s exploration, validation, and adoption of emerging technologies, transforming early‑stage innovations into enterprise‑ready capabilities that shape the company’s digital future.
Lead High-Impact Proofs of Concept: Direct hands‑on PoCs using leading‑edge AI/ML, generative AI, and cloud‑native technologies to rapidly assess feasibility, business value, and scalability—turning experimentation into informed enterprise decisions.
Create Patterns That Scale: Convert successful explorations into repeatable architectural patterns, reference implementations, and blueprints (LLMOps, MLOps, CI/CD for AI) that dramatically accelerate adoption across teams and platforms.
Architect the Next-Generation AI Platform: Design and guide the evolution of secure, scalable, hybrid‑cloud AI architectures across Azure, AWS, GCP, and NVIDIA—enabling Caterpillar’s internal AI Factory and future digital products.
Translate Vision Into Execution: Act as a trusted advisor between executive leadership and engineering teams—shaping strategy, influencing investment decisions, and turning ambiguity into actionable technical roadmaps.
Build and Inspire Elite Talent: Lead, mentor, and grow a high‑performing team of senior architects and engineers, fostering a culture of curiosity, experimentation, and engineering excellence.
Requirements
A four‑year bachelor’s degree from an accredited college or university in Computer Science, Information Technology, or a related field, with 15+ years of experience
5+ years leading AI/ML or emerging technology architecture initiatives
Proven experience leading architecture and emerging technology teams through prototypes, proofs of concept, and the creation of repeatable architectural and deployment patterns that scale across the enterprise.
Demonstrated success translating leading‑edge technologies from early experimentation into production‑ready architectures, platforms, or standards —moving beyond innovation to measurable enterprise adoption.
Deep expertise across modern AI/ML and Generative AI ecosystems, with hands‑on experience evaluating, integrating, and operationalizing rapidly evolving technologies (e.g., PyTorch, TensorFlow, Hugging Face, JAX, OpenAI/Azure OpenAI, Anthropic, LLaMA, Mistral, LangChain, LlamaIndex, RAG‑based architectures).
Strong NVIDIA AI stack experience, including hands‑on expertise with technologies such as CUDA, NeMo, NIM, RAPIDS, TensorRT/Triton, Riva, DeepStream, Isaac, Omniverse, Jetson, and NVIDIA AI Enterprise — supporting training, fine‑tuning, and inference at scale.
Experience designing and evolving hybrid and multi‑cloud AI platforms across Azure, AWS, Google Cloud, and NVIDIA, with deep knowledge of Kubernetes, Docker, GPU orchestration, and secure enterprise deployment models.
Experience leading first‑of‑their‑kind or highly ambiguous initiatives, where architectural direction, operating models, and success criteria were not fully defined, requiring strong judgment and experimentation‑driven decision‑making.
Strong awareness of the broader emerging technology ecosystem, including hyperscalers, open‑source communities, and technology partners, with the ability to assess innovation through both technical and business lenses.
A track record of influencing enterprise‑wide architectural direction, partnering with executive leaders, and shaping long‑term technology and platform investment decisions.
A passion for building and mentoring elite technical talent, fostering a culture of curiosity, experimentation, and continuous learning that raises the architectural maturity of the organization.
Tech Stack
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kubernetes
PyTorch
Tensorflow
Benefits
Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*