Enterprise Data & AI Architect

Enterprise Data & AI Architect

We are seeking a highly experienced Enterprise AI Architect to lead the design and delivery of enterprise-grade AI and data solutions for regional customers across Asia.

This role is ideal for a senior architect or consulting professional with strong experience in enterprise architecture, cloud platforms, AI transformation, and customer-facing solution consulting. You will work closely with enterprise customers, business stakeholders, engineering teams, and delivery leaders to shape scalable AI platforms and modern data ecosystems.

The successful candidate will play a key role across both pre-sales and project delivery engagements, helping customers modernize their AI, analytics, and enterprise data capabilities using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent automation, and cloud-native architectures.

Key Responsibilities

• Design and architect enterprise AI and data platform solutions
• Lead architecture workshops, discovery sessions, and technical consultations with customers

Define scalable architectures for:

• Generative AI / LLM solutions
• Retrieval-Augmented Generation (RAG)
• AI agents and orchestration frameworks
• Enterprise data platforms and analytics ecosystems
• Machine Learning pipelines and AI operations

• Design secure, scalable, and cloud-native AI platforms across hybrid and multi-cloud environments
• Collaborate with engineering and delivery teams on implementation strategies and technical governance
• Lead or contribute to RFP/RFI responses, solution proposals, and architecture presentations
• Present solution strategies to CIOs, CTOs, enterprise architects, and senior business stakeholder Define architecture standards, reusable frameworks, and governance best practices
• Ensure compliance with enterprise security, governance, privacy, and responsible AI standards

Requirements

• Degree in Computer Science, Engineering, Information Systems, or related field
• 10+ years of experience in enterprise architecture, cloud architecture, AI/ML engineering, or enterprise data platforms
• Proven experience delivering enterprise-scale AI or data transformation initiatives
• Strong customer-facing consulting and stakeholder management capability
• Experience working within consulting, system integration, telecom, managed services, or enterprise technology environments

Strong knowledge of:

• Generative AI / LLM ecosystems
• RAG frameworks and vector databases
• AI orchestration and intelligent agents
• Enterprise integration architecture
• API and microservices architecture
• Cloud-native platforms and Kubernetes
• MLOps / LLMOps practices
• Enterprise security and governance
• Hands-on experience with one or more cloud platforms:
• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

Preferred Skills

• Experience with technologies such as LangChain, Semantic Kernel, OpenAI ecosystem, Databricks, MLFlow, or vector database platforms
• Experience within telecom, financial services, public sector, or large enterprise environments
• Cloud or enterprise architecture certifications are advantageous
• Strong presentation, communication, and executive engagement skills