Senior IT Architect

YOUR TASKS AND RESPONBILITIES

Lead architects and teams through the shift to AI-first, agent-enabled ways of building and delivering

Translate horizon scanning on AI and emerging tech into enterprise strategy, priorities, and cross-cutting capabilities

Align senior stakeholders on long-term digital direction and accelerate responsible innovation at pace

Support communities and chapters that spread adoption, learning, and shared practice

Network and communicate with senior stakeholders across enterprises and seek opportunities for improvement

Support at least one community or chapter or a combination of both

Lead teams including enterprise architects and help them understand how to deliver the team’s objectives to meet organizational goals

Carry out horizon scanning across the industry, identifying emerging trends and their potential impact and opportunity

Support successful delivery of the long-term strategy

Take a leading role in the overall direction of business and digital capabilities

Identify priorities for change to enable delivery at increasing pace

Lead and influence the delivery of cross-cutting capabilities that enable change

WHO YOU ARE

Bachelor or higher degree in Computer Science, Information Technology, or a related field

12+ years experience in IT, with a focus on systems architecture, software development and IT process

7+ years experience in a senior IT role, preferably as an Enterprise Architect or similar leadership position

Proficiency in IT infrastructure, including cloud computing, networking, databases, and application development

Expert knowledge of integration patterns and practices

Strategic thinking and ability to align IT strategy with business goals

Ability to mentor and develop more junior architects and IT staff

Capability to drive organizational change and foster a culture of innovation

Experience in ensuring that IT systems meet security and regulatory requirements

Expert understanding of DevOps practices and tools

Extensive experience with microservices architecture and RESTful API design

Familiarity with automated testing frameworks and tools

Excellent verbal and written communication skills in English and Chinese

Strong ability to evaluate emerging technologies and assess their potential impact

Ability to work collaboratively in a cross-functional team

Ability to build consensus among diverse stakeholders

Hands-on experience designing and architecting AI agents (e.g., orchestration patterns, tool use, memory, guardrails, and human-in-the-loop workflows)

AI-first mindset: able to reframe business and technology problems through the lens of intelligent automation and generative AI, not as a bolt-on feature

Deep practical understanding of GenAI capabilities and limitations — what it can reliably deliver today, where it fails, and how to architect around uncertainty, hallucination, cost, latency, and compliance risk

In-depth knowledge of specific technology stacks and platforms used in IT

Expertise in API-first integration

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