Databricks

1 month ago

Specialist Solutions Architect - AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Architect production-grade ML/AI workloads for enterprise customers on Databricks, guiding GenAI solutions, MLOps, and end-to-end pipelines. Collaborate with Solution Architects to align AI roadmaps, mentor peers, and drive adoption of Databricks AI offerings across multiple domains.

Location: Mumbai

Workplace: Hybrid

Job Function: Solutions Engineering & Sales Engineering

Key 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, 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, including feature engineering, training, tracking, serving, and model monitoring, within a single platform.
•Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, aiding adoption of Databricks’ AI offerings.

Travel: Medium travel

Key Requirements

•5+ years of hands-on industry ML experience in at least one of the following: ML Engineer (production-grade cloud infrastructure for ML apps) or AI Engineer (LLMs, vector databases, fine-tuning, AI guardrails, deployment with tools like 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, lifelong learning, and driving business value through ML & AI.
•Preferred: 2+ years customer-facing experience in a pre-sales or post-sales role; ability to travel up to 30% when needed.

Experience:5+ yearsAI/MLEnterprise softwareCloud

Education:Master's

Skills:CommunicationCollaborationMentorshipPresentationLeadership

Tech Stack:AWSAzureGCPLangchainHuggingFaceOpenAILLMsVector databasesMLOpsRAG

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Specialist Solutions Architect - AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Mumbai

Workplace: Hybrid

Job Function: Solutions Engineering & Sales Engineering

Key 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, 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, including feature engineering, training, tracking, serving, and model monitoring, within a single platform.
•Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, aiding adoption of Databricks’ AI offerings.

Travel: Medium travel

Key Requirements

•5+ years of hands-on industry ML experience in at least one of the following: ML Engineer (production-grade cloud infrastructure for ML apps) or AI Engineer (LLMs, vector databases, fine-tuning, AI guardrails, deployment with tools like 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, lifelong learning, and driving business value through ML & AI.
•Preferred: 2+ years customer-facing experience in a pre-sales or post-sales role; ability to travel up to 30% when needed.

Experience:5+ yearsAI/MLEnterprise softwareCloud

Education:Master's

Skills:CommunicationCollaborationMentorshipPresentationLeadership

Tech Stack:AWSAzureGCPLangchainHuggingFaceOpenAILLMsVector databasesMLOpsRAG

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn