[Hiring] AI Engineering Manager @Huron

Role Description

This person builds the solution and works with the business day to day inside a pod. This seat is focused on building well.

• 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.

Qualifications

• 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).

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.

Benefits

• The estimated base salary for this job is $140,000 - $170,000 USD.
• Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $168,000 - $204,000 USD.
• This job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.