Role Description

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.

Requirement

• 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.

Perks

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