AI Architect

ASCENDION ENGINEERING SOLUTIONS SINGAPORE PTE. LTD.

Singapore

On-site

SGD 180,000 - 280,000

Full time

2 days ago

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Job summary

ASCENDION ENGINEERING SOLUTIONS SINGAPORE PTE. LTD. seeks an experienced AI Architect to lead enterprise-scale AI and Generative AI initiatives. The role requires shaping strategy, architecture standards, and scalable production-ready solutions across Azure, AWS, and Google Cloud.

You will mentor teams, drive governance, and partner with business and product leaders to translate goals into robust AI platforms and secure deployments.

Qualifications

8-15+ years in technology with architecture experience.
Proven enterprise-scale AI or GenAI solution delivery.
Strong cloud architecture and software engineering background.
Experience leading architecture discussions with executives.

Responsibilities

Define and drive AI and GenAI architecture roadmap.
Design end-to-end AI platforms aligned with business goals.
Establish governance, security, and Responsible AI practices.
Guide AI engineers and data scientists; review solutions and proofs-of-concept.
Mentor teams on AI architecture patterns and best practices.

Skills

LLMs

GenAI

RAG

NLP

Deep Learning

AI Frameworks

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

OpenAI SDK

Hugging Face

Python

REST APIs

Docker

Kubernetes

Terraform

CI/CD

MLOps

Azure OpenAI

Azure ML

AWS Bedrock

SageMaker

Vertex AI

Databricks

Snowflake

Apache Spark

Kafka

Vector Databases

Education

Bachelor's Degree in Computer Science or related

Tools

Databricks

Snowflake

Apache Spark

Kafka

Pinecone

Weaviate

ChromaDB

Milvus

Azure OpenAI

Azure AI Foundry

Azure Machine Learning

AWS Bedrock

SageMaker

Vertex AI

Job description

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