Databricks: Specialist Solutions Architect - AI/ML — Mumbai, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Specialist Solutions Architect - AI/ML in Mumbai, India, under reference 8593505002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Field Engineering - Other
• Employer listing date: 16 June 2026

Responsibilities and work described

• Architecture: 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
• Collaboration: 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

Essential requirements and candidate background

• 5+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including 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
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• Can travel up to 30% when needed

Experience and professional background

• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role

Location, schedule and contract conditions

• This is a Hybrid role, based in Mumbai
• Advertised location: Mumbai, India

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Specialist Solutions Architect - AI/ML vacancy is not an offer for reference 8593505002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8593505002.

Compare your qualifications and experience with the essential conditions for the Mumbai, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• AWS
• GCP
• Azure
• AI/ML
• LLMs
• Google Cloud
• Excel
• AI
• compliance
• sales
• training