Description
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 at the forefront of cutting-edge technologies,including Generative AI, LLMs, and MLOps,you will mentor peers and establish 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).
- Prior experience in a pre-sales or post-sales technical consulting role (preferred).
- 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.
Pay Range Transparency: 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.
Local Pay Range: $180,000-$247,500 USD