AI Engineering Manager (AI Capability Center) - 4 Openings Available

Huron•Toronto, ON

5d•$140,000 - $170,000•Remote

About The Position

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Join our team and create your future. This person builds the solution and works with the business day to day inside a pod. This seat is focused on building well.

Requirements

5 to 8 years building software or AI, including 1 to 2 years leading.
Python and TypeScript, back end and modern front end (React or similar).
RAG and agent experience in production.
Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps, or similar).
REST APIs and enterprise data integration.
AWS or Azure, deploying and operating cloud-native workloads.
A strong builder who is comfortable working with the business.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice To Haves

Exposure to Agentic DevOps tooling (agentic coding tools, eval-driven pipelines).
Vector databases and LLM observability in production.
Infrastructure as code (Terraform or Bicep).
Healthcare or higher education exposure, including HIPAA or FERPA environments.
AWS Machine Learning Engineer - Associate, or Azure AI Engineer Associate (AI-102 or its successor).

Responsibilities

Build the features. Full-stack on AWS and Azure using Claude and other models.
Work with users. Sit with the business day to day and build with them.
Keep quality up. Tests and evaluations on everything that ships.
Work to the design. Build within the agreed solution design, and flag what the design misses.
Raise the bar. Set the engineering standard in the pod and support less experienced engineers.