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: 5 hours agoStatus: Live

Job Summary

AI/ML-focused Specialist Solutions Architect guiding customers in architecting production-grade ML/AI apps on the Databricks platform. Collaborates with Solution Architects, mentors peers, and stays at the forefront of GenAI, MLOps, and ML technologies while traveling up to 30% and operating in a hybrid Bengaluru-based role.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Architect production-level ML/AI workloads on the Databricks platform, including agents, end-to-end ML pipelines, training/inference optimization, and MLOps integration.
•Serve as a trusted practitioner for enterprise GenAI solutions, covering RAG architectures, agentic systems, natural language querying of structured data, AI evaluation and observability, and monitoring.
•Build, scale, and optimize customer AI workloads and productionize these workloads across multiple domains using best-in-class MLOps.
•Provide advanced technical support to Solution Architects during technical sales, including feature engineering, training, tracking, serving, and model monitoring.
•Collaborate with product and engineering to represent customer voice, define priorities, and influence the product roadmap for Databricks AI offerings.

Travel: Medium travel

Key Requirements

•5+ years of hands-on ML experience in ML Engineering or AI Engineering, including production-grade cloud infrastructure (AWS/Azure/GCP) and drift monitoring.
•Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or equivalent practical experience.
•Experience communicating and/or teaching technical concepts to non-technical and technical audiences.
•Passion for collaboration, lifelong learning, and driving business value through ML/AI.
•Preferred: 2+ years of customer-facing experience in pre-sales or post-sales roles.

Experience:5+ yearsAI/MLGenAIMLOpsCloud infrastructure

Education:Master's

Skills:CommunicationCollaborationMentorshipPresentation

Languages:English

Tech Stack:AWSAzureGCPHuggingFaceLangChainOpenAILLMsVector databasesDatabricksMLOps

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: 5 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Architect production-level ML/AI workloads on the Databricks platform, including agents, end-to-end ML pipelines, training/inference optimization, and MLOps integration.
•Serve as a trusted practitioner for enterprise GenAI solutions, covering RAG architectures, agentic systems, natural language querying of structured data, AI evaluation and observability, and monitoring.
•Build, scale, and optimize customer AI workloads and productionize these workloads across multiple domains using best-in-class MLOps.
•Provide advanced technical support to Solution Architects during technical sales, including feature engineering, training, tracking, serving, and model monitoring.
•Collaborate with product and engineering to represent customer voice, define priorities, and influence the product roadmap for Databricks AI offerings.

Travel: Medium travel

Key Requirements

•5+ years of hands-on ML experience in ML Engineering or AI Engineering, including production-grade cloud infrastructure (AWS/Azure/GCP) and drift monitoring.
•Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or equivalent practical experience.
•Experience communicating and/or teaching technical concepts to non-technical and technical audiences.
•Passion for collaboration, lifelong learning, and driving business value through ML/AI.
•Preferred: 2+ years of customer-facing experience in pre-sales or post-sales roles.

Experience:5+ yearsAI/MLGenAIMLOpsCloud infrastructure

Education:Master's

Skills:CommunicationCollaborationMentorshipPresentation

Languages:English

Tech Stack:AWSAzureGCPHuggingFaceLangChainOpenAILLMsVector databasesDatabricksMLOps

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