Data & AI Solution Architect — Cloud, GenAI & Strategy

re-zoo-me; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Slalom Singapore is seeking an experienced Solution Architect, Data & AI to shape scalable data and AI platforms across AWS, Azure, and GCP. You will lead end-to-end architectures, guide ML/GenAI pipelines, and establish robust MLOps practices while aligning with governance and security requirements.

You will collaborate with senior stakeholders and delivery teams to transform business challenges into practical, scalable AI-enabled solutions, ensuring measurable outcomes and sustainable

Qualifications

• 8-12+ years in data engineering, data architecture, or AI/ML solution delivery.
• Experience designing enterprise-scale Data & AI solutions.
• Strong experience with cloud platforms (AWS, Azure, GCP).

Responsibilities

• Define end-to-end Data & AI architectures translating business needs into scalable cloud-native solutions.
• Architect data platforms and guide ML/GenAI pipelines end-to-end.
• Establish MLOps and GenAI solution patterns including CI/CD pipelines and LLM integrations.
• Act as trusted advisor to client stakeholders through workshops and assessments.
• Guide engineering teams for delivery quality, governance, and regulatory compliance.
• Contribute to capability development, accelerators, and thought leadership.

Skills

Data architecture

Cloud platforms

ML pipelines

MLOps

GenAI

Python

Airflow

dbt

Kubernetes

Terraform

BigQuery

Databricks

Snowflake

SageMaker

Azure ML

Vertex AI

Tools

Snowflake

Databricks

BigQuery

Redshift

Synapse

Kafka

Kinesis

Pub/Sub

Python

Airflow

dbt

Kubernetes

Terraform

Job description

Slalom Singapore is seeking an experienced Solution Architect, Data & AI to shape scalable data and AI platforms across AWS, Azure, and GCP. You will lead end-to-end architectures, guide ML/GenAI pipelines, and establish robust MLOps practices while aligning with governance and security requirements.

You will collaborate with senior stakeholders and delivery teams to transform business challenges into practical, scalable AI-enabled solutions, ensuring measurable outcomes and sustainable