Specialist Solutions Architect - AI/ML

Excerpt from the original posting

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As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.

This position can be remote. 

The Impact You Will Have

- Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth

- Lead complex architecture discussions — designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems

- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors

- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions

- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain

- Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs

- Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For 

- 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:

- ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring

- AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs

- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills

- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms

- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., re…

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