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)
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