Senior Forward-Deployed Engineer: Architect & Deliver AI

Cacheflow; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer to embed with our most strategic customers and design and deliver custom fullstack applications on the Databricks Data Intelligence Platform and other stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This hands-on, customer-facing role requires strong engineering depth, adaptability, and collaboration to drive measurable outcomes for

Qualifications

• Engineering depth across backend, frontend, and systems integration.
• Ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user interfaces.
• Experience with AI APIs and code-generation tools to accelerate delivery.

Responsibilities

• Lead architecture and design decisions ensuring secure, scalable solutions.
• Design and develop applications spanning backend, frontend, and integrations on Databricks and related stacks.
• Deliver end-to-end systems from data ingestion to ML/AI model integration and user-facing apps.
• Embed with customer teams and translate technical concepts for diverse stakeholders.
• Collaborate with Sales, Product, and Field Engineering to smooth the customer journey.
• Contribute accelerators and best practices to scale impact.

Skills

Architecture design

Backend development

Frontend development

Data engineering

AI/ML

Python

SQL

Java/Scala

JavaScript/TypeScript

OpenAI API

Anthropic API

Gemini API

Cross-functional collaboration

Customer-facing

Tools

OpenAI API

Anthropic API

Gemini API

Job description

Databricks is seeking a Forward Deployed Engineer to embed with our most strategic customers and design and deliver custom fullstack applications on the Databricks Data Intelligence Platform and other stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This hands-on, customer-facing role requires strong engineering depth, adaptability, and collaboration to drive measurable outcomes for