Specialist Solutions Architect - AI/ML
Databricks
Mumbai, IndiahybridPosted 1 month ago
Skill Required
Field Engineering - OtherAIMachine LearningObservabilityEngineeringStatisticsDatabricksLangChainetc.)OpenAPIAzureUnityCloudGenerative AIRAGAWSGCP
Key highlights
- Hybrid role in Mumbai
- 5+ years of hands-on ML experience required
- 30% travel requirement
- Graduate degree in a quantitative discipline or equivalent experience required
Role overview
As an AI/ML Specialist Solutions Architect (SSA), you will serve as the trusted technical ML & AI expert to Databricks customers and the Field Engineering organization. You will guide customers in architecting production-grade ML & AI applications on Databricks, aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. This role involves strengthening technical skills in GenAI, MLOps, and broader ML, expanding impact through mentorship, and establishing thought leadership in AI. This is a Hybrid role based in Mumbai.
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 or AI Engineer
- 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
- Can meet expectations for technical training and role-specific outcomes within 3 months of hire
- Can travel up to 30% when needed
Nice to have
- 2+ years customer-facing experience in a pre-sales or post-sales role
Benefits
- Comprehensive benefits and perks that meet the needs of all employees (region-specific details available via provided link)
Additional details
- This is a Hybrid role, based in Mumbai.
- About Databricks: Databricks is the Data and AI company, serving over 20,000 organizations worldwide, including 70% of the Fortune 500. It offers a unified platform with products like Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Databricks is committed to fostering a diverse and inclusive culture, with hiring practices that meet equal employment opportunity standards.
- Compliance: If access to export-controlled technology or source code is required, Databricks may apply for a U.S. government license at its discretion and may decline to proceed with an applicant on this basis alone.