Principal Architect - AI and Data Platforms
Core
Define and execute enterprise strategy for AI, Data Platforms, and Data Governance; design scalable AI/ML systems and modern data platforms; lead architectural practices and mentor teams.
Role type
Principal Architect (AI & Data Platforms)
Builds
Scalable AI/ML systems, modern data platforms (Lakehouse), enterprise solution blueprints, and governance frameworks.
Domain
Enterprise AI, Data Engineering, Cloud Architecture, Data Governance
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise architecture strategy, Agentic AI (Tool Usage, Orchestration, LLMs, AgentOps), GenAI (LLMs, LLMOps, RAG), Data platforms (Lakehouse, ADLS Gen2, Databricks, Synapse, Unity Catalog), MLOps, Cloud platforms (Azure, AWS, GCP), Big data (Spark, Hadoop), DevOps/CI/CD, Infrastructure as Code (Terraform), Containerization (Docker, Kubernetes)
Preferred skills
PhD in Computer Science or Engineering
Technologies
Azure, GCP, AWS, Databricks, Synapse, Unity Catalog, ADLS Gen2, Spark, Hadoop, Terraform, Docker, Kubernetes, LLMs, RAG, AgentOps
Responsibilities
Define AI and Data Platform architecture strategy and roadmap; Design and evolve modern data platforms and AI/ML systems; Enforce AI, data, and architecture governance standards; Partner with stakeholders to translate requirements into architecture solutions; Lead and mentor architecture team members; Present architectural strategies to senior leadership.
Seniority
Principal, strategy & mentorship