AI Engineering Manager – 4 Openings Available

Posted 3 weeks ago

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About the role

  • AI Engineering Manager building full-stack AI solutions on AWS and Azure for Huron's global consulting business. Leading pod engineering standards, quality, and business collaboration.

Responsibilities

  • Build full-stack features on AWS and Azure using Claude and other models
  • Work with users and the business day to day inside a pod
  • Maintain quality through tests and evaluations on everything that ships
  • Build within the agreed solution design and flag gaps in the design
  • Set the engineering standard in the pod and support less experienced engineers

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
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • 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)
  • Comfortable working with the business

Benefits

  • Annual incentive compensation program
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Wellness programs

Job type

Full Time

Experience level

Mid levelSenior

Salary

$140,000 - $170,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudDockerKubernetesPythonReactTerraformTypeScript

Location requirements

RemoteUnited States

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