Editorial summary

The company is seeking an Enterprise AI Architect to join their team in the real estate sector. The role involves defining enterprise AI architecture, standards, and roadmaps, as well as leading the design and implementation of advanced AI solutions such as GenAI, LLMs, RAG, AI agents, conversational AI, NLP, computer vision, and predictive analytics. Key requirements include expertise in AI infrastructure, scalable platforms, and enterprise integrations. The position offers a salary of 20,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 18137 first appeared in Job-Q.com on 06 Jul 2026]

About the job

Our client in Real Estate is looking for an AI Architect to join their team.

Your new role

As an AI Architect, you will be responsible for:

• Define enterprise AI architecture, standards, reusable solution patterns, and roadmaps aligned with business, security, and governance objectives.
• Lead the design and delivery of AI solutions including GenAI, LLMs, RAG, AI agents, conversational AI, NLP, computer vision, and predictive analytics.
• Establish scalable AI platforms and data foundations, including AI infrastructure, vector databases, retrieval frameworks, enterprise integrations, and cloud/hybrid environments.
• Implement AI engineering best practices through LLMOps/MLOps, model lifecycle management, monitoring, observability, deployment controls, and performance optimization.
• Drive Responsible AI governance and provide technical leadership by ensuring security, compliance, risk management, stakeholder collaboration, and team mentoring.

What you’ll need to succeed

• 8+ years of experience in data, enterprise architecture, or AI/ML domains, with 3–5 years delivering production AI solutions.
• Strong expertise in GenAI, LLMs, and enterprise AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar technologies.
• Deep understanding of RAG architectures, vector databases, embeddings, retrieval strategies, prompt engineering, and AI agent frameworks.
• Hands-on experience with MLOps/LLMOps, cloud platforms (Azure preferred), Python, SQL, APIs, microservices, containers, and CI/CD technologies.
• Solid knowledge of enterprise data architecture, security, governance, privacy, access controls, Responsible AI, and model risk management.
• Excellent business partnering, stakeholder management, communication, and technical leadership skills, with the ability to translate business needs into scalable AI solutions and roadmaps.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Stable and hybrid working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

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