Senior ML & AI Technical Solutions Engineer
Application analysis
Senior ML & AI Technical Solutions Engineer at Databricks is a forward deployed data & ai platform role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Solutions / Sales Engineering role centers on technical discovery, demos, POCs, and helping buyers build internal consensus. Key signals from the listing: Senior scope.
About Databricks
Databricks sells a unified data platform to enterprises. Forward deployed engineers help customers migrate workloads and prove value on live data. The role is anchored in Bengaluru, India, so expect on-site customer work in that region.
Signals in the listing
Stand out for Senior ML & AI Technical Solutions Engineer
- Lead your application with one paragraph tying Senior ML & AI Technical Solutions Engineer to a specific customer or deployment you owned — Databricks hires for shipped outcomes, not tool lists.
- Bring a tight demo narrative: customer pain, live workflow, and measurable before/after — treat the interview like a compressed POC.
- Show how you qualify opportunities and say no to bad-fit pilots; Databricks values technical judgment in customer-facing roles.
- This role is tied to Bengaluru, India — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Databricks
- Demonstrate Spark/SQL fluency with a concrete example — Databricks will probe for specifics, not buzzwords.
- Demonstrate enterprise stakeholder management with a concrete example — Databricks will probe for specifics, not buzzwords.
- Strong candidates show they can whiteboard a lakehouse migration and then actually implement the first milestone.
- Read recent engineering blog posts, product launches, and customer stories on databricks.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
P-1377
Mission
As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform. You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving. You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue. TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks. Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.
The Impact You Will Have
Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems. Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost. Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing