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Specialist Solutions Architect - AI/ML
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ICT
💰 Salary Not shared
📊 Market ₹450,000–₹800,000/mo (₹5,400,000–₹9,600,000/yr)
About the Company
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe.
Responsibilities
- ● Architect production-level ML & AI workloads for customers using the 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, 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
- ● Have 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer or AI Engineer
- ● Have a graduate degree in a quantitative discipline or equivalent practical experience
- ● Have experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- ● Have a passion for collaboration, life-long learning, and driving business value through ML & AI
- ● Have 2+ years customer-facing experience in a pre-sales or post-sales role (preferred)
- ● Can meet expectations for technical training and role-specific outcomes within 3 months of hire
- ● Can travel up to 30% when needed
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