Forward Deployed AI Engineer — GenAI & Cloud Data

Google Inc.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Google Cloud is seeking a Forward Deployed Engineer for its Data Cloud team in Singapore. You will act as an embedded builder, moving data and ML workloads from idea to production within customer environments using PySpark, SQL, Python and Google Cloud tools such as BigQuery, Spanner, and AlloyDB.

You will de-identify sensitive data, build lakehouse architectures, and deploy ML components aimed at improving client metrics, while migrating analytics workloads and contributing to product roadmap

Qualifications

• Bachelor’s degree in Engineering/CS or equivalent practical experience.
• 2 years of software/data engineering, ML, or related consulting.
• Experience with Python and SQL development and data cloud ecosystems.
• Experience taking cloud data solutions from conception to production.
• Experience training and deploying ML models in production.

Responsibilities

• Build and ship production data and ML workloads with PySpark, SQL, Python on Google Cloud.
• Stand up proofs with customer data, including de-identification of PCI/PHI.
• Build data foundations for agentic solutions with lakehouse architectures and access controls.
• Train, evaluate, and deploy ML components to improve business metrics.
• Migrate analytics workloads to Google Cloud with cost-performance gains.

Skills

Python

SQL

PySpark

BigQuery

Spanner

AlloyDB

Knowledge Catalog

Apache Spark

Education

Bachelor's degree

Tools

LangGraph

CrewAI

ADK

Job description

Google Cloud is seeking a Forward Deployed Engineer for its Data Cloud team in Singapore. You will act as an embedded builder, moving data and ML workloads from idea to production within customer environments using PySpark, SQL, Python and Google Cloud tools such as BigQuery, Spanner, and AlloyDB.

You will de-identify sensitive data, build lakehouse architectures, and deploy ML components aimed at improving client metrics, while migrating analytics workloads and contributing to product roadmap