AI Engineering Manager — Capability Center

Huron; Chicago (IL); On-site; USD 140,000 - 170,000; Full time

Job summary

Huron is hiring a Manager-level software engineer to advance AI-enabled solutions across AWS and Azure. You will work closely with business users, building features in Python and TypeScript, and leading a small pod of engineers.

You’ll ensure quality through testing and evaluations, align with design, and push the engineering bar. 5–8 years of software or AI experience and 1–2 years in leadership are expected, with cloud deployments on AWS/Azure.

Qualifications

• 5 to 8 years building software or AI, including 1 to 2 years leading.
• Proficiency in Python and TypeScript for backend and modern frontend (React).
• Experience with RAG and agent use in production environments.
• Hands-on with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps).
• Experience designing REST APIs and integrating enterprise data.
• Experience deploying workloads in AWS or Azure.

Responsibilities

• Build features as a full-stack engineer on AWS and Azure, using Claude and other models.
• Collaborate with business users, sitting with them day-to-day to gather requirements.
• Maintain code quality through tests and evaluations of every shipment.
• Adhere to solution design and flag gaps in the design.
• Raise engineering standards within the pod and mentor junior engineers.

Skills

Python

TypeScript

React

REST APIs

Docker

Kubernetes

CI/CD

AWS

Azure

RAG/agent experience

LLM observability

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform

Bicep

GitHub Actions

Azure DevOps

Job description

Huron is hiring a Manager-level software engineer to advance AI-enabled solutions across AWS and Azure. You will work closely with business users, building features in Python and TypeScript, and leading a small pod of engineers.

You’ll ensure quality through testing and evaluations, align with design, and push the engineering bar. 5–8 years of software or AI experience and 1–2 years in leadership are expected, with cloud deployments on AWS/Azure.