As the solution architect, you work early with internal teams, clients, and ecosystem partners to design end-to-end AI architectures that can be deployed across varied environments (cloud, on-prem, hybrid, sovereign), embedding trust, resilience, and operational readiness by design.
You lead through influence aligning engineering, data science, product, governance, and external stakeholders driving clarity and decisions in complex, ambiguous environments.

Key Responsibilities

Technical Product Management (AI Capabilities & Platforms)• Define and own the technical product strategy, roadmap, and lifecycle for AI and data capabilities within the AI CoE specifically • Translate business and client needs into clear technical requirements (epics, user stories, acceptance criteria) that drive delivery.• Partner with global teams to adapt and localise AI tooling, platforms, and frameworks for China-specific use cases and constraints.• Ensure releases are adoption ready, balancing usability, scalability, performance, and trust requirements.• Track product outcomes (adoption, performance, business impact), identify gaps, and continuously refine the roadmap.
Solution Architecture & Ecosystem Engagement (AI Deployment & Scaling)• Design and deliver end-to-end AI solutions with clients, partners, and ecosystem stakeholders, aligned to real-world deployment environments and infrastructure constraints (cloud, on-prem, hybrid, sovereign).• Define scalable AI architectures across data pipelines, models/LLMs, orchestration, APIs, and monitoring, embedding trust, operational readiness, and lifecycle management by design.• Develop reusable reference architectures, patterns, and playbooks to accelerate delivery and ensure consistency and scalability across implementations.• Provide architectural guidance and design authority to delivery teams, ensuring high-quality, repeatable deployment outcomes.•

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