AI/ML Architect

Responsibilities:

MLOps Platform Development and Management

Prod model serving

Agentic AI Infrastructure

Model Monitoring and Drift Detection

Data Pipeline Engineering

Integration Architecture

Performance Optimization

Security and Compliance

Key Skills

AWS AI/ML Services: Deep proficiency with Bedrock, SageMaker, Lambda, Step Functions

MLOps Tools: CI/CD for ML, model registries, experiment tracking, drift detection

Programming: Python for ML engineering, infrastructure as code (CDK, Terraform)

DevOps: Container orchestration (EKS), serverless architectures, monitoring and observability

Agentic AI Frameworks: AgentCore for multi-agent orchestration