Senior Specialist Solutions Architect (AI/ML)
Databricks2 months ago
Responsibilities
- Design and implement production-level ML and AI workloads, including end-to-end pipelines, training and inference optimization, MLOps lifecycle management, and cloud-native integrations.
- Lead enterprise GenAI solutions using RAG architectures, agentic systems, tool-calling, multi-agent orchestration, guardrails, AI observability, and natural-language querying of structured data.
- Support Solution Architects during technical sales cycles by building MVPs, leading deep-dive sessions, and aligning solutions with customer challenges.
- Collaborate with product and engineering teams to represent customer needs and influence the AI platform roadmap.
- Mentor colleagues and drive AI platform adoption through technical tutorials, training materials, industry presentations, and hackathons.
Requirements
- 10+ years of hands-on industry data science or machine learning experience.
- Experience building production-grade cloud infrastructure for ML applications or applying advanced LLM, agentic systems, vector database, fine-tuning, and deployment techniques.
- Hands-on experience with distributed Spark-based systems and data engineering concepts.
- Pre-sales or post-sales experience with external clients; 5+ years of customer-facing experience is preferred.
- Graduate degree in a quantitative discipline or equivalent practical experience.
- Ability to communicate and teach complex technical concepts to technical and non-technical audiences.
- Ability to meet technical training and role-specific expectations within three months of hire.
- Ability to travel up to 30% when needed.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available separately.
Tech Stack
Categories
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).