Solution Architect - AI Infrastructure

Hamilton Barnes Associates Limited; Town of Texas (WI); On-site; USD 283,500 - 346,500; Full time

Benefits offered by this job

Equity (RSUs)

Job summary

A leading AI infrastructure innovator in Wisconsin seeks an experienced Cloud Solutions Architect to act as a trusted advisor, leading technical workshops and optimizing machine learning pipelines on GPU cloud platforms. Candidates should have 5–10+ years in related technical roles, hands-on experience with Infrastructure as Code tools like Terraform, and a solid understanding of GPU computing. This role offers a competitive salary package including equity options.

Qualifications

• 5–10+ years of experience in a technical role such as Cloud Solutions Architect.
• Strong experience with Infrastructure as Code tools.
• Excellent communication skills and a strong customer-centric mindset.

Responsibilities

• Act as a trusted technical advisor to customers.
• Lead technical PoCs, workshops, and training sessions.
• Design and document infrastructure-as-code solutions.
• Optimise ML pipelines for performance and cost efficiency.

Skills

Technical advisory skills

Experience with Infrastructure as Code

Kubernetes

Linux environments

Python automation

GPU computing knowledge

Communication skills

Tools

Terraform

Ansible

Job description

Ready to power the next wave of generative AI and machine learning that’s reshaping industries worldwide?

Join a pioneering AI infrastructure innovator delivering full-stack cloud services and large-scale GPU platforms that accelerate research, development, and deployment for startups, enterprises, and research institutions across the globe. Their AI-native cloud combines hyperscale performance with supercomputer-level computing power to support the entire machine learning lifecycle. This is a team of expert engineers and AI researchers driven by curiosity, innovation, and a mission to transform how the world builds and uses artificial intelligence.

Step into a role where your work drives breakthrough AI solutions, fuels real-world impact, and places you at the forefront of next-generation cloud and AI technology!

Responsibilities

• Act as a trusted technical advisor to customers, providing architecture guidance and best practices throughout the engagement lifecycle.
• Lead technical PoCs, workshops, presentations, and training sessions focused on GPU cloud infrastructure and ML workloads.
• Collaborate with customers to understand business and technical requirements, translating them into scalable cloud and MLOps architectures.
• Design and document infrastructure-as-code solutions, technical documentation, and implementation guides in collaboration with support and documentation teams.
• Help customers optimise ML pipelines for performance, scalability, and cost efficiency across GPU-powered cloud environments.
• Serve as the internal point of reference for customer use cases, feeding insights to product, engineering, support, and marketing teams.
• Support go-to-market and community efforts through participation in events such as hackathons, conferences, workshops, and webinars.

Skills / Must Have

• 5–10+ years of experience in a technical role such as Cloud Solutions Architect, Systems/Network Engineer, Platform Engineer, or Developer, with strong cloud exposure.
• Hands‑on experience with Infrastructure as Code and configuration management tools (Terraform and/or Ansible).
• Strong experience with Kubernetes and production Linux environments.
• Ability to write automation or tooling in Python.
• Solid understanding of GPU computing for ML training and inference, including GPU software stacks (drivers, CUDA, related libraries).
• Excellent communication skills and a strong customer‑centric mindset.

Benefits

• Equity (RSUs)

Salary

• $315,000 OTE