Senior Platform Engineer, AI Infrastructure

📋 Job Overview

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer's needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.

🏢 About Focused

We're looking for a Senior Platform Engineer to lead the build-out of an enterprise AI platform for a global enterprise client. You'll design the foundation their teams use to ship LLM applications and agents: Kubernetes, GPU capacity, security, and the guardrails that let hundreds of engineers move fast without breaking things. You'll set technical direction and mentor a Platform Engineer working alongside you.

🎯 The Role

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer's needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.

✅ Key Responsibilities

• Design and build a multi-tenant platform for LLM and agentic AI workloads, from model access to deployment
• Architect GPU infrastructure for inference and fine-tuning, including scheduling, autoscaling, and cost controls
• Stand up shared services for agents: model gateways, secrets, tracing, evaluation, and deployment pipelines
• Make build-vs-buy calls and explain the tradeoffs to technical and executive stakeholders
• Architect and run production Kubernetes on Azure AKS and GCP GKE
• Own Terraform modules and IaC standards across environments
• Build CI/CD and GitOps workflows that make platform changes safe and repeatable
• Design identity, network isolation, and secrets management for AI workloads
• Put guardrails in place for data access, model usage, and auditability
• Partner with security and compliance teams to meet enterprise requirements
• Mentor and direct a Platform Engineer on the engagement
• Lead architecture reviews and write the decision records that outlast the engagement
• Build trust with client engineering leaders and leave their team able to run what we build

📌 Required Qualifications

• 10+ years in infrastructure, platform, or DevOps engineering
• Deep production experience with Kubernetes, including Azure AKS
• Hands-on experience with GCP
• Expert-level Terraform
• Experience running GPU infrastructure (NVIDIA GPU Operator, node pools, scheduling, or similar)
• Experience building infrastructure that supports LLM workloads in production
• Strong cloud security background: IAM, networking, secrets, policy as code
• Experience leading technical direction for a team

⭐ Desirable Experience

• Experience building an internal agentic AI platform
• Familiarity with model serving (vLLM, Triton, KServe, Ray Serve)
• Experience with Azure OpenAI or Vertex AI
• Consulting or client-facing experience

🎁 Benefits

The Chicago base salary range for this role is $185,000 - $225,000.

🛂 Visa & Eligibility

Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.

This role will require being in the Chicago office 3 days per week and up to 20% travel within the United States.