Specialist Solutions Architect - AI/ML
FEQ427R382
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. Working
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.
The impact you will have:
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.
What we look for:
5+ years of hands-on industry experience in at least one of the following domains:
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.
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).
[Preferred] Prior experience in a pre-sales or post-sales technical consulting role.
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.
Ability to travel up to 30% as needed for customer engagements.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$180,000—$247,500 USD