Senior Specialist Solutions Architect (AI/ML)

Overview

In this role you will serve as the trusted ML/AI technical expert for Databricks customers and the Field Engineering team. You will guide enterprise clients in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You’ll stay at the cutting edge of GenAI, ML, MLOps, and LLMOps, mentoring peers and establishing yourself as a AI thought leader. You will influence the platform roadmap and drive adoption through hands-on MVPs, deep-dive sessions, and technical guidance during sales cycles. This role combines hands-on architecture with cross-functional collaboration to deliver impactful AI solutions at scale.

Responsibilities

• Architect production-grade ML/AI workloads and end-to-end pipelines
• Lead GenAI initiatives focusing on RAG architectures, agentic systems, AI observability, and NLQ of data
• Provide advanced technical support during the technical sales cycle via MVPs and deep-dives
• Influence product roadmap by representing customer perspectives to engineering
• Drive thought leadership through tutorials, training materials, conferences, and hackathons

Key requirements

• 10+ years of hands-on DS/ML experience
• Experience in ML Engineering or Data Science/AI with focus areas such as LLMs, agentic systems, vector databases, fine-tuning, deployment tools
• Hands-on experience with distributed Spark-based systems
• Understanding of data engineering concepts
• Pre-sales or post-sales client-facing experience (5+ years preferred)
• Strong communication skills for technical and non-technical audiences
• Graduate degree in a quantitative discipline or equivalent practical experience
• Willingness to travel up to 30%

• communication
• collaboration
• lifelong learning
• ML engineering on cloud infrastructure (AWS/Azure/GCP)
• GenAI, LLMs, agentic systems, RAG architectures
• Vector databases, fine-tuning, deployment tools (e.g., HuggingFace, Langchain)

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