AI Technology Architect

About the role

We are seeking an experienced AI Technology Architect to lead the design and governance of enterprise‑wide AI, Generative AI and Agentic AI solutions. The role will define architecture standards, drive technical excellence and enable AI adoption across business functions.

Key responsibilities

• Design and define enterprise architecture for AI, Generative AI and Agentic AI solutions.
• Develop architecture standards, reference architectures, reusable frameworks and best practices.
• Lead solution architecture for strategic AI products, platforms and transformation initiatives.
• Drive AI engineering excellence through MLOps, LLMOps, model lifecycle management, observability, governance and security.
• Ensure seamless integration of AI solutions with enterprise applications, cloud platforms, APIs and data ecosystems.
• Provide architectural guidance throughout the solution lifecycle from design to production support.
• Evaluate emerging AI technologies and recommend innovative solutions aligned with business objectives.
• Collaborate with engineering, cloud, cybersecurity and business teams to deliver scalable and resilient AI platforms.
• Mentor engineering teams and promote architecture best practices.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science or a related discipline.
• 15+ years of experience in software engineering, cloud engineering, data engineering or solution architecture.
• Strong expertise in AI, Machine Learning, Generative AI, Large Language Models, Retrieval‑Augmented Generation and Agentic AI.
• Proven experience with Azure AI, AWS AI or Google Cloud AI platforms.
• Excellent analytical, problem‑solving and stakeholder management skills.

Required skills

• Azure AI
• AWS AI
• Google Cloud AI
• MLOps / LLMOps
• Containerization
• APIs
• Microservices
• Cloud‑native architectures
• Enterprise integration
• Large Language Models (LLMs)
• Retrieval‑Augmented Generation (RAG)
• Agentic AI