Principal Data Scientist / GenAI Architect (GenAI)

About the Role We're seeking an exceptional Principal Data Scientist / GenAI Architect at T1A to join as a dedicated expert for DataBricks projects. This is a highly specialized role for someone who can match the technical caliber of our top performers and work directly with DataBricks teams on their most complex initiatives. This is NOT a junior or mid-level position. We need someone at architect level who can pass DataBricks' rigorous technical interviews and immediately contribute to production systems. Why This Role Is Unique DataBricks-focused position: You'll work exclusively on DataBricks projects in direct collaboration with their technical teams Architect-level ownership: Design and implement enterprise-scale ML/AI solutions from scratch Premium compensation: We understand exceptional talent commands exceptional rates Direct impact: Work with DataBricks on strategic GenAI implementations for their key clients Technical excellence: Join a team where technical depth is valued above all Responsibilities Lead GenAI/ML architecture and implementation specifically within DataBricks ecosystem Design production-ready ML pipelines using the full DataBricks stack (MLflow, Unity Catalog, Delta Lake, Serving Endpoints) Implement advanced GenAI solutions: LLM fine-tuning, RAG architectures, multi-agent systems Navigate complex technical requirements and deliver innovative solutions Collaborate directly with DataBricks product and engineering teams Serve as technical authority for GenAI/ML best practices Pass and excel in DataBricks' technical assessments Requirements Must-Have Requirements: 5+ years of senior/principal level ML/AI experience (not just years in the field, but years at senior level) Expert-level proficiency with DataBricks platform - this is non-negotiable Production GenAI experience: You've built and deployed LLM-based systems at scale Strong technical fundamentals: Advanced Python for ML/AI Deep understanding of Spark and distributed computing SQL mastery and data engineering principles MLOps and production ML systems Excellent English communication skills (you'll interface with US-based DataBricks teams) Proven ability to work at architect level - designing systems, not just implementing Track record of passing rigorous technical interviews Nice-to-Have Experience with multiple cloud platforms (AWS/Azure/GCP) Background from top universities (MSU, MIPT, top EU/US schools) Experience at leading tech companies (FAANG, Yandex, or similar) Russian language skills (for internal collaboration) DataBricks certifications (ML Professional) Published research or significant open-source contributions Location & Setup Europe Full remote, B2B contract Must have legal right to work in EU Flexible hours with availability for DataBricks team collaboration (some US timezone overlap) Conditions 7,000-9,000 EUR gross (based on expertise) Fully remote setup with flexible working hours Direct partnership with DataBricks technical teams Work on cutting-edge GenAI implementations Minimal bureaucracy - focus on technical excellence T1A Christmas Holidays as additional paid vacation Annual performance review with compensation revision