Specialist Solutions Architect - AI/ML
Databricks2 months ago
Responsibilities
- Architect production-level ML and AI workloads for customers on the Databricks Data Intelligence Platform.
- Design enterprise GenAI solutions including RAG architectures, agentic systems, natural-language querying of structured data, AI evaluation and observability, and monitoring systems.
- Build, scale, optimize, and productionize customer AI workloads using MLOps.
- Provide advanced technical support to Solution Architects during technical sales, covering feature engineering, training, tracking, serving, and model monitoring.
- Collaborate with product and engineering teams to represent customer needs, define priorities, and influence the AI product roadmap.
- Mentor others and contribute to the Databricks ML subject-matter-expert community.
Requirements
- At least 5 years of hands-on industry ML experience.
- Experience as an ML Engineer building and maintaining production-grade cloud infrastructure for ML applications, or as an AI Engineer working with LLMs and agentic systems.
- Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
- Experience communicating or teaching technical concepts to both technical and non-technical audiences.
- Preferred: at least 2 years of customer-facing pre-sales or post-sales experience.
- Ability to meet technical training and role-specific outcome expectations within 3 months of hire.
- Ability to travel up to 30% when needed.
- Passion for collaboration, lifelong learning, and driving business value through ML and AI.
Benefits
- Hybrid role based in Mumbai
- Comprehensive regional benefits and perks
- Travel of up to 30% when needed
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).