AI Architect

AI Architect

As a Senior AI Architect at ICON, you will be responsible for defining and governing the end-to-end architecture of the organisation’s AI platforms, frameworks, and services. You will provide technical leadership across infrastructure, platform, solution, and agent architecture to ensure sca

lable, secure, and high-performing AI solutions that support enterprise delivery.

What You Will Do:

In this role you will act as the technical authority across the AI landscape, guiding architecture decisions and enabling engineering teams to deliver robust, future-ready solutions.

Key Responsibilities:

• Define and own the architecture for the central AI platform, multi-agent framework, and supporting services
• Design and maintain scalable cloud infrastructure architectures across all environments (development, staging, and production)
• Establish architectural standards, reference designs, and governance processes across engineering teams
• Lead solution architecture for AI products, translating business requirements into end-to-end technical designs
• Define integration patterns, API standards, and data architectures to support interoperability and scalability
• Design and guide multi-agent and agent-based system architectures, including orchestration and lifecycle management
• Lead architectural design reviews, ensuring alignment with standards, quality, and non-functional requirements
• Provide technical leadership and mentorship to engineering teams, driving architectural best practices and continuous improvement

Your Profile:

• Proven experience in software architecture, including leadership of complex, distributed, and cloud-native systems
• Strong experience with cloud platforms (Azure preferred, or AWS/GCP) and modern infrastructure practices
• Experience designing and delivering AI/ML or data-driven systems in production environments
• Knowledge of microservices, APIs, distributed systems, and event-driven architectures
• Experience defining architectural standards and governing design across multiple teams or programmes
• Strong understanding of system scalability, performance, security, and reliability considerations
• Ability to influence and collaborate across engineering, product, and leadership stakeholders

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