架构师 / AI Architect

该职位来源于猎聘 Roles and Responsibilities:

• Technology Forecasting and Evaluation: -Stay abreast of new and emerging generative AI technologies, frameworks, and methodologies. -Lead the evaluation and integration of diverse AI platforms (including but not limited to DeepSeek, OpenAI, Microsoft Azure AI, Ali/Tencent, and popular open source ecosystems) into the Enterprise Architecture.
• Design & Implementation of Agentic Workflows: -Lead the design, development, and implementation of advanced “agentic workflows” that harness principles from cognitive psychology, neuroscience, logic, and decision theory. -Oversee both strategic planning and hands-on prototyping to enable innovative solutions that incorporate AI reasoning and decision-making capabilities.
• Innovation Leadership and Use Case Incubation: -Drive innovation through ideation sessions and design thinking workshops to identify high-impact AI use cases. -Develop comprehensive business cases and manage pilot programs that validate and refine these AI-driven initiatives beforewider adoption.
• Enterprise Architecture Roadmap: -Define the future-state architecture that marries traditional IT disciplines with generative AI capabilities, ensuring that the roadmap reflects both current business needs and future growth opportunities. -Formulate technology roadmaps that create a competitive advantage through emerging AI, cloud, and integration technologies.
• Stakeholder and Change Management: -Collaborate with regional business units, cross-functional teams, and external partners to ensure alignment on architecture standards and AI innovation initiatives. -Lead change management and stakeholder engagement efforts to promote adoption and ensure smooth transitions as new technologies are implemented.
• Technical & Strategic Integration: -Contribute to strategic discussions on improving customer experience, usability, and digital transformation through innovative AI solutions. -Ensure that AI initiatives are aligned with broader enterprise goals while maintaining a balance between creative innovation and technical depth.
• Governance and Compliance: -Develop guidelines and standards for the development and deployment of AI solutions, ensuring that all initiatives adhere to internal policies and best practices. -Monitor and govern the execution of projects to ensure consistency with the overall Enterprise Architecture and emerging AI governance frameworks. Job Requirements:
• Experience & Background: -A minimum of 10 years of experience in IT disciplines is desirable, though candidates with fewer years but significant hands-on generative AI and innovation experience will be considered. -Proven track record in both traditional IT architecture and cutting- edge AI/ML engineering practices, with demonstrable experience in innovation leadership.
• Generative AI Expertise: -Hands-on experience with generative AI technologies including prototyping, model fine-tuning, model distillation, reinforcement learning with human feedback, chain-of-thought methodologies, and prompt engineering. -Familiarity with multiple generative AI platforms and ecosystems such as DeepSeek, OpenAI, Microsoft Azure AI, Ali/Tencent AI, and popular open source frameworks.
• Innovation & Design Thinking: -Strong background in design thinking methodologies, business case development, and pilot program execution for AI initiatives. -Experience in ideating and incubating use cases that bridge technical innovation with real business value. -Ability to apply multiple technical solutions to business problems. -Familiarization with rapid application and proof of concept development practices
• Agentic Workflow Design: -Demonstrated experience in designing and implementing agentic workflows, with a multidisciplinary background that includes elements of cognitive psychology, neuroscience, and logic & decision theory.
• Strategic & Technical Acumen: -Ability to balance strategic vision with technical depth, contributing to both long-term enterprise planning and hands-on AI solution development. -Experience with digital transformation initiatives that leverage emerging technologies for competitive advantage.
• Collaboration and Change Management: -Strong interpersonal and cross-cultural communication skills, with experience in change management and stakeholder engagement across regional business units. -Proven ability to work collaboratively in dynamic, multi-disciplinary teams and drive consensus in a diverse organizational environment.
• Additional Technical Proficiencies: -Working knowledge of AI/ML engineering practices and an understanding of cloud services, integration frameworks, and agile development practices. -Awareness of current trends in AI and digitalization with the ability to apply innovative technical solutions to business challenges.