全职 AI Architect 工作, 薪水 up to SGD 14,000, ASCENDION ENGINEERING SOLUTIONS SINGAPORE PTE. LTD. 公司招聘中 - Ricebowl

We are seeking an experienced

AI Architect

to lead the design, architecture, and implementation of enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will possess deep expertise in AI/ML technologies, Large Language Models (LLMs), cloud-native architectures, and modern software engineering practices.

This role will serve as the technical authority for AI initiatives, partnering with business leaders, product teams, data scientists, and engineering teams to define AI strategies, establish architecture standards, and deliver scalable, secure, and production-ready AI solutions.

Key Responsibilities

AI Strategy & Architecture

Define and drive the organization's AI and Generative AI architecture roadmap.

Design end-to-end AI platforms and enterprise AI solutions aligned with business objectives.

Establish best practices, governance standards, and architecture frameworks for AI adoption.

Evaluate emerging AI technologies and recommend suitable solutions for enterprise use cases.

Solution Design

Architect AI-powered applications utilizing:
Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

AI Agents & Agentic Workflows

Natural Language Processing (NLP)

Machine Learning & Deep Learning

Design scalable and resilient AI platforms on Azure, AWS, or GCP.

Define integration patterns with enterprise applications, APIs, data platforms, and cloud services.

Technical Leadership

Provide architecture guidance to AI Engineers, Data Scientists, and Development teams.

Lead solution reviews, proof-of-concepts, and technology evaluations.

Drive engineering excellence, security, scalability, and performance optimization.

Mentor engineering teams on AI architecture patterns and best practices.

Governance & Security

Establish Responsible AI, model governance, security, and compliance frameworks.

Ensure AI solutions adhere to regulatory, privacy, and cybersecurity requirements.

Define monitoring, observability, and model lifecycle management strategies.

Stakeholder Management

Engage senior stakeholders and business leaders to identify AI opportunities.

Translate business requirements into scalable architecture solutions.

Present AI strategies, solution designs, and technical recommendations to leadership teams.

Required Qualifications

Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related disciplines.

8-15+ years of technology experience with a minimum of 3-5 years in AI/ML architecture or solution architecture roles.

Proven experience designing and delivering enterprise-scale AI or Generative AI solutions.

Strong software engineering and cloud architecture background.

Experience leading architecture discussions with senior business and technology stakeholders.

Technical Skills

Artificial Intelligence & GenAI

Large Language Models (LLMs)

Generative AI

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Fine-Tuning Models

AI Agents / Agentic AI

NLP

Deep Learning

Machine Learning

AI Frameworks

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

OpenAI SDK

Hugging Face

Cloud Technologies

Azure OpenAI

Azure AI Foundry

Azure Machine Learning

AWS Bedrock

Amazon SageMaker

Google Vertex AI

Data & Platform Technologies

Databricks

Snowflake

Apache Spark

Kafka

SQL / NoSQL Databases

Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus)

Engineering & DevOps

Python

Java (Preferred)

REST APIs

Docker

Kubernetes

Terraform

CI/CD

MLOps
COLLABERA TECHNOLOGIES PTE. LTD.