Description

Define end-to-end solution architectures, leading AI/ML design, cloud integration, and enterprise governance for scalable, secure systems.

This role is hybrid.

Responsibilities

• Design enterprise-scale architectures including system components, data flows, and technology stacks aligned with TOGAF standards.
• Lead AI/ML solution architecture, covering LLM integration, data pipelines, deployment models, and responsible AI controls.
• Evaluate and recommend platforms, SaaS/COTS solutions, and vendors based on fit-for-purpose analysis.
• Facilitate architecture workshops, produce design documentation, and provide implementation guidance throughout delivery.
• Manage technical risks, dependencies, and architectural trade-offs while ensuring security and regulatory compliance.

Required Skills

• 5+ years’ experience as a Solution Architect or Lead Architect.
• Proven experience designing enterprise-scale solutions across multiple technology domains.
• Strong knowledge of architecture frameworks, specifically TOGAF.
• Hands-on experience with cloud platforms: AWS, Azure, or GCP.
• Expertise in modern integration patterns: APIs, microservices, and event-driven systems.
• Strong background in data architecture, data governance, and enterprise data management (DAMA principles).
• Solid understanding of security architecture, identity, access management, and data protection.
• Experience with DevOps practices, CI/CD pipelines, and infrastructure as code.
• Working knowledge of AI/ML architecture patterns, including LLMs and AI service integration.

Preferred Skills

• Experience applying responsible AI practices, governance frameworks, and ethical AI principles.
• Ability to influence stakeholders and build consensus across organisational boundaries.

Key Skills

Education

Any Graduate