GenAI Architect

TechCom Solutions Pte Ltd

Singapore

On-site

SGD 140,000 - 190,000

Full time

14 days+

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Job summary

TechCom Solutions Pte Ltd in Singapore is seeking an experienced Enterprise AI Architect to design and lead GenAI architectures for AI-powered applications and platforms. You will drive scalable, secure data and AI solutions across teams.

Demonstrated expertise in Generative AI, LLMs, RAG, AI Agents, cloud computing, and modern data architectures is essential for this role.

Qualifications

  • Design and lead architecture for enterprise GenAI / AI-powered applications and platforms.
  • Strong hands-on experience with Generative AI, LLMs, RAG, AI Agents and enterprise AI integration.
  • Strong cloud computing and software architecture/engineering experience.
  • 5–10 years of experience with Apache Spark / PySpark, Snowflake, Airflow, Kafka, Iceberg and DBT.
  • Strong experience with ETL frameworks, data pipelines and modern data platforms.
  • 2–5 years of experience in Artificial Intelligence / GenAI.

Responsibilities

  • Design and lead architecture for enterprise GenAI / AI-powered applications and platforms.
  • Collaborate with data engineers, product teams and stakeholders to deliver scalable AI solutions.
  • Define reference architectures, best practices, and technical governance.
  • Evaluate and implement AI/ML tooling, data pipelines and cloud services.
  • Mentor teams and drive architecture leadership across projects.

Skills

Leadership
Stakeholder management
Architecture leadership

Tools

Apache Spark / PySpark
Snowflake
Airflow
Kafka
Iceberg
DBT

Job description

Design and lead architecture for enterprise GenAI / AI-powered applications and platforms.

Strong hands-on experience with Generative AI, LLMs, RAG, AI Agents and enterprise AI integration.

Strong cloud computing and software architecture/engineering experience.

5–10 years of experience with Apache Spark / PySpark, Snowflake, Airflow, Kafka, Iceberg and DBT.

Strong experience with ETL frameworks, data pipelines and modern data platforms.

2–5 years of experience in Artificial Intelligence / GenAI.

Experience designing scalable, secure and production-ready AI and data solutions.

Strong programming, technical design, stakeholder management and architecture leadership skills.

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