Senior Data & AI Solution Architect - Cloud-Native MLOps

Slalom

Singapore

On-site

SGD 100,000 - 150,000

Full time

14 days+
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Job summary

Slalom, a global consulting firm, is looking for a Solution Architect in Data & AI in Singapore. You will work closely with senior clients to create cloud-native data solutions that drive business outcomes and digital transformation.

The role requires expertise in data architecture, AI engineering, and mentoring teams, ensuring robust implementation of scalable data platforms and AI solutions across AWS, Azure, and GCP.

Qualifications

  • 5-8 years as Senior Consultant, 8-12+ years as Principal in data engineering or AI/ML solution delivery.
  • Strong expertise in AWS, Azure, GCP, and modern data platforms.
  • Hands-on experience building ML pipelines and applying MLOps practices.
  • Deep knowledge of data modeling and transformation patterns.
  • Strong client-facing skills and experience mentoring engineers.

Responsibilities

  • Define and design Data & AI architectures based on business requirements.
  • Architect data platforms and guide implementation of ML pipelines.
  • Establish MLOps and GenAI solution patterns for AI systems.
  • Act as a trusted advisor to client stakeholders.
  • Guide engineering teams to ensure delivery quality and compliance.

Skills

Data engineering
Data architecture
AI/ML solutions
Cloud platforms (AWS, Azure, GCP)
ML pipelines
MLOps practices
Python programming
CI/CD practices

Tools

Snowflake
Databricks
BigQuery
Redshift
Synapse
Airflow
dbt
Kafka
Kinesis
Pub/Sub
SageMaker
Azure ML
Vertex AI
Kubernetes
Terraform

Job description

Slalom, a global consulting firm, is looking for a Solution Architect in Data & AI in Singapore. You will work closely with senior clients to create cloud-native data solutions that drive business outcomes and digital transformation.

The role requires expertise in data architecture, AI engineering, and mentoring teams, ensuring robust implementation of scalable data platforms and AI solutions across AWS, Azure, and GCP.

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