Principle Data Engineer
Core
Lead end-to-end development of cloud-native applications and AI platforms, architecting scalable AI services, APIs, and orchestration frameworks for autonomous agents and intelligent automation.
Role type
Principal Data Engineer (AI Platform & Generative AI)
Builds
Next-generation AI platforms, copilots, agentic systems, and intelligent applications powered by Generative AI and LLMs.
Domain
Cloud-native AI, Generative AI, Large Language Models (LLMs), and Enterprise Data Engineering.
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud-native application development, Generative AI architecture, LLM orchestration, RAG implementation, Vector database management, Agentic AI systems design, MLOps/LLMOps, AI governance, Python programming, Azure data engineering, Software architecture, SRE practices, Cross-functional leadership.
Preferred skills
Knowledge graph development, Prompt engineering, Model tuning, AI evaluation frameworks, Multi-agent systems, Enterprise AI transformation.
Technologies
Azure, Python, C#, Java, Scala, LLMs, Vector databases, Knowledge graphs.
Responsibilities
Architect and deliver AI-ready data platforms and scalable AI services, Drive technical strategy for Applied AI solutions, Create reusable AI frameworks and SDKs, Establish best practices for Responsible AI and model governance, Provide hands-on technical leadership through architecture and code reviews, Partner with business leaders to deliver transformational AI opportunities.
Seniority
Principal, strategy & mentorship
