AI Architect / Lead

Ascendion Engineering Solutions Singapore Pte. Ltd; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Ascendion Engineering Solutions Singapore Pte. Ltd. is seeking an experienced AI Architect to design and implement scalable AI/ML and Generative AI solutions for enterprise applications in Singapore.

You will lead end-to-end AI/ML architectures, apply LLMs, RAG, AI Agents, and NLP, and collaborate with engineering, data, product and business teams to deploy cloud-based solutions on AWS, Azure or GCP, with robust MLOps, security, governance and monitoring.

Qualifications

• 8+ years in AI/ML, software engineering or data roles.
• Strong experience in AI Architecture / Solution Architecture.
• Hands-on with Generative AI, LLM, RAG, and AI Agents.

Responsibilities

• Design end-to-end AI/ML and GenAI architecture for enterprise applications.
• Lead solutions using LLMs, RAG, AI Agents, and NLP.
• Integrate AI solutions with enterprise applications and APIs.

Skills

AI Architecture

Python

AI/ML

LLMs / GenAI

Cloud Computing

Stakeholder Management

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

APIs

Vector Databases

Job description

Job Summary

We are looking for an experienced AI Architect to design and implement scalable AI/ML and Generative AI solutions for enterprise applications.

Key Responsibilities

• Design end-to-end AI/ML and GenAI architecture.
• Lead solutions using LLMs, RAG, AI Agents, and NLP.
• Integrate AI solutions with enterprise applications and APIs.
• Design cloud-based AI solutions using AWS / Azure / GCP.
• Establish MLOps/LLMOps, security, governance, and monitoring.
• Work with engineering, data, product, and business teams.

Must-Have Skills

• 8+ years of experience in AI/ML, Software Engineering, or Data.
• Strong experience in AI Architecture / Solution Architecture.
• Hands-on experience with Generative AI, LLM, RAG, and AI Agents.
• Strong Python and AI/ML knowledge.
• Experience with AWS/Azure/GCP and MLOps.
• Knowledge of Vector Databases, APIs, Docker/Kubernetes.
• Strong communication and stakeholder management skills.