Specialist Solutions Architect - AI/ML
Databricks13 days ago
Mumbai, IndiaSenior
Responsibilities
- Architect production-level ML and AI workloads for customers on the Databricks platform.
- Design and support GenAI solutions including RAG architectures, agentic systems, guardrails, natural-language querying, evaluation, observability, and monitoring.
- Build, scale, optimize, and productionize customer AI workloads using MLOps practices.
- 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, influence priorities, and drive adoption of Databricks AI offerings.
- Mentor others, communicate technical concepts to varied audiences, and contribute to the ML subject-matter-expert community.
Requirements
- At least 5 years of hands-on industry ML experience in ML engineering or AI engineering.
- Experience building production-grade cloud infrastructure for ML applications, including drift monitoring, or experience with LLMs and agentic systems, vector databases, LLM fine-tuning, AI guardrails, and LLM deployment.
- 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: 2+ years of customer-facing pre-sales or post-sales experience.
- Ability to meet technical training and role-specific expectations within 3 months of hire and travel up to 30% when needed.
Benefits
- Hybrid role based in Mumbai.
- Databricks offers comprehensive regional benefits and perks; specific details vary by location.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.