About the job
As a Specialist Solutions Architect (SSA) — AI/ML, you will serve as a trusted technical expert in Machine Learning and Artificial Intelligence for Databricks customers and our Field Engineering organization. This role offers an opportunity to work at the forefront of cutting-edge technologies—including Generative AI, LLMs, and MLOps—while mentoring peers and establishing yourself as a technical thought leader in the AI community.
Responsibilities
Architect AI/ML Workloads: Design and deploy production-level ML and AI architectures using the Databricks unified platform, including AI agents, end-to-end pipeline automation, and model training/inference optimization.
Lead GenAI Implementation: Act as a hands-on practitioner for enterprise Generative AI solutions, including Retrieval-Augmented Generation (RAG), tool-calling/multi-agent orchestration, guardrails, AI evaluation, and observability systems.
Optimize & Scale: Build and maintain scalable customer AI workloads, applying best-in-class MLOps practices across diverse industry domains.
Technical Pre-Sales Support: Partner with Solutions Architects during the sales cycle—guiding prospects through feature engineering, model tracking, serving, and monitoring within a single platform.
Influence the Product Roadmap: Translate customer feedback into actionable product insights by collaborating with Engineering and Product teams to shape the future of Databricks' AI offerings.
Qualifications
Minimum
5+ years of hands-on industry experience in at least one of the following domains: ML Engineering or AI Engineering
Demonstrated ability to translate complex AI/ML concepts for both technical and non-technical audiences
Strong passion for continuous learning, cross-team collaboration, and delivering tangible business value through AI
Understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP)
Graduate degree in Computer Science, Engineering, Statistics, or a related quantitative field—or equivalent practical experience
Ability to travel up to 30% as needed for customer engagements
Ability to hit role-specific training and technical delivery milestones within the first 6 months
Preferred
Prior experience in a pre-sales or post-sales technical consulting role