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Specialist Solutions Architect - AI/MLDatabricks · Bengaluru, India
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Databricks

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Specialist Solutions Architect - AI/ML

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🗓️ Posted 2026-09-02 Bengaluru, India Hybrid ICT
💰 Salary Not shared 📊 Market ₹450,000–₹800,000/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 3

Responsibilities

  • ● Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
  • ● Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems.
  • ● Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains.
  • ● Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks.
  • ● Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks' AI offerings.

Requirements

  • ● 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer (building and maintaining production-grade cloud infrastructure for ML deployment) or AI Engineer (experience with LLMs, agentic systems, vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI).
  • ● Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
  • ● Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
  • ● Passion for collaboration, life-long learning, and driving business value through ML & AI.
  • ● Preferred 2+ years customer-facing experience in a pre-sales or post-sales role.
  • ● Can meet expectations for technical training and role-specific outcomes within 3 months of hire.
  • ● Can travel up to 30% when needed.