Lead AI/ML Architect
Core
Lead the engineering work to take machine learning and generative AI from notebooks to monitored, governed production systems for customers.
Role type
Senior IC Lead AI/ML Architect
Builds
Production ML and GenAI systems, ML platform layer (pipelines, deployment, monitoring)
Domain
Data & AI, Generative AI, MLOps, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, software engineering fundamentals, MLOps (training/inference pipelines, experiment tracking, model registries, deployment patterns, monitoring), Azure (ML, Databricks, Fabric), Infrastructure as Code (Terraform/Bicep), containers, Kubernetes, Generative AI productionization (RAG, orchestration, guardrails), AI governance (lineage, GDPR, EU AI Act)
Preferred skills
AWS/GCP experience, pre-sales scoping, technical mentoring
Technologies
Azure Machine Learning, Databricks, Microsoft Fabric, Terraform, Bicep, Kubernetes
Responsibilities
Lead design and build of ML/GenAI systems from architecture to production; Own the ML platform layer including pipelines and monitoring; Set engineering standards and reference architectures; Work directly with customers to shape technical approaches; Mentor data scientists and engineers; Engage in pre-sales scoping; Evaluate new tooling and models for production stacks.
Seniority
Senior, hands-on IC with leadership responsibilities
