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Databricks

Field Engineering, AI/ML Product Specialist

Databricks

Published 14 May 2026
Singapore
Full Time

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Role Highlights

Languages used

Key skills

Machine Learning
Data Science
Product Management
SME
Cloud Environments
LLMs
Generative AI
Architecture
Visualization
Forward Deployed Engineer
RAG

Tools, Libraries and Frameworks

DataBricks
AWS
Azure
GCP
OpenAI
MLFlow
Apache Spark
LLamaindex

Description

The role involves defining technical go-to-market strategies and driving the adoption of AI and machine learning products within the Asia Pacific and Japan region. The specialist works directly with customers to influence their data application architecture and provides guidance to senior executives. Responsibilities include presenting and demonstrating product suites while acting as a technical expert to support internal field engineering teams. The position requires partnering with product managers to shape product direction and strategy based on local market insights. Additionally, the role entails establishing thought leadership through public speaking, webinars, and content creation. The specialist also leads a group of experts to scale impact and collaborates across functional teams to develop best practices.

Required Qualifications and Skills

The role requires at least six years of experience in data science and machine learning, along with two years of experience in production generative AI. Candidates must possess hands-on experience building solutions within major public cloud environments such as AWS, Azure, or GCP. A deep understanding of LLM application architectures, agent frameworks, and foundational model markets is necessary. Furthermore, the position demands a proven track record in pre-sales and the ability to act as a trusted advisor to technical executives.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Databricks

Size

8632

HQ

San Francisco, US

Public/Private

Privately Held

Description

Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. --- Attention: Databricks applicants Due to reports of phishing, were requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

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