Principal Data Scientist - AI, MLOps & GenAI Lead
Core
Lead the engineering of production-grade GenAI, multi-agent workflows, and automation systems within an 'Agentic Factory' to solve complex business problems.
Role type
Principal Data Scientist (AI/ML/GenAI Lead)
Builds
Multi-agent workflows, agentic AI platforms, LLMOps/MLOps pipelines, and production AI solutions.
Domain
Enterprise AI, Generative AI, MLOps, Cloud Computing
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, LLM orchestration (LangGraph, LangChain, AutoGen), MLOps/LLMOps, GCP (Vertex AI, BigQuery), Docker, Kubernetes, Data Engineering (ELT/ETL), AI Safety & Guardrails
Preferred skills
Cloud AI Engineer certification, Data Engineer certification, experience with FastAPI/Flask
Technologies
Python, SQL, LangGraph, LangChain, AutoGen, ADK, Vertex AI, BigQuery, Cloud SQL, GCS, Docker, Kubernetes, GKE
Responsibilities
Design and scale robust multi-agent workflows and advanced RAG architectures; Establish coding standards, testing frameworks, and evaluation metrics for GenAI; Build and maintain LLMOps/MLOps CI/CD pipelines; Implement automated guardrails for safety and compliance; Mentor intermediate and junior AI engineers; Translate business use cases into technical sprints and drive PoCs to production.
Seniority
Principal, hands-on IC with strategic oversight