微软AI Architect/Developer
任职要求
• Master’s degree (or higher), preferably with a specialization in Machine Learning, Data Science, or AI. • Minimum 10+ years as a technical solution architect or consultant with proven expertise in AI/ML development. • Mandatory hands-on experience in Python development, with extensive practical experience building and deploying production-grade AI solutions. • Proven track record of successful delivery of cloud-native AI projects, ideally on the Azure platform. • Demonstrated expertise in deep-learning and Agentic AI frameworks (Semantic Kernel, LangChain, LangGraph etc.) and model optimization. Preferred Qualifications: • Additional, hands-on software development experience in JavaScript and/or .NET, providing full-stack solution design capability. • Deep understanding and practical experience with Azure OpenAI (e.g., ChatGPT, DALL·E 2), Azure ML, and AI Agent development frameworks. • Expertise in implementing automated deployments using Azure DevOps, GitHub (CI/CD pipelines) and comprehensive understanding of MLOps practices. • Excellent communication skills (written and verbal) with the ability to articulate complex technical solutions clearly to diverse audiences, including senior executives. • Strong analytical and problem-solving skills, with a passion for customer empathy and user-centric solution design. Culture and Values: At Microsoft, our mission is to empower every individual and organization on the planet to achieve more. We embrace a growth mindset, champion innovation, and value collaboration. Respect, integrity, accountability, and inclusiveness are foundational to our culture, and we seek professionals who align with and further these core values. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
工作职责
• Lead hands-on design and development efforts primarily using Python, building robust, scalable, and customer-focused AI/ML solutions. • Engage directly with key enterprise customers to strategize, architect and implement AI driven, Agentic AI solutions leveraging Azure AI services including Azure OpenAI, Azure ML. • Translate complex requirements into practical, well-architected technical solutions. • Develop end-to-end, rapid prototypes, involving data ingestion, validation, processing, and model deployment using Azure platform components. • Build, customize, and optimize AI models and related components for customer-specific use cases. • Integrate AI solutions with full-stack architectures, preferably leveraging experience with JavaScript frameworks (e.g., Node.js, React) and/or .NET ecosystems. • Establish and maintain robust CI/CD and ML Ops pipelines, leveraging Azure DevOps, Github for automated deployments. • Proactively explore diverse datasets to engineer novel features and signals that significantly enhance ML performance. • Participate actively in every phase of the model lifecycle from conceptualization, training, fine tuning, validation, and deployment, to continuous monitoring and improvement.
THE ROLE: “AI Product Applications Engineer (Solution Architect) – China” position is in the AMD AI group, located in China. THE PERSON: Success in this role will require deep knowledge of Data Center, Client, Endpoint AI workloads such as LLM, Generative AI, Recommendation, and/or transformer … AI cross cloud, client, edge… the candidate needs to have hands-on experiences with various AI models, end-to-end pipeline, industry framework (pytrouch, vLLM, SGLang, llm-d,Triton) / SDKs and solutions. KEY RESPONSIBILITIES: Position technical proposals / enablement to (blogs, tutorials, user guide…) AI SW developers and/or top customers. Provide significant contribution to AI SW developers / communities and/or customer PoC success. Drive AI developers / communities / customer requirements for AI SW, solution roadmap planning. Analyze competitive solutions to identify strength and weaknesses for articulating AMD AI SW & solution value propositions. Provide inputs / feedback to AI SW / hardware silicon / board roadmap for AI cross cloud, client, and edge...
THE ROLE: “AI Product Applications Engineer (Solution Architect) – China” position is in the AMD AI group, located in China.
We are seeking a highly skilled and innovative AI Chip Architect who will play a key role in the development of cutting-edge AI hardware. The ideal candidate is a visionary and a problem-solver, capable of designing complex chip architectures optimized for performance, efficiency, and scalability. In this role, you will work with software and hardware engineering groups to define state-of-the-art AI chip architecture for high-performance computing system in Data Center. Key Responsibilities: * Define the architecture for the next-generation AI chips, including high-performance computing system, hierarchically memory/cache system, and high-speed interconnects. * Collaborate with a cross-functional team of hardware engineers, software developers, and machine learning specialists to ensure designs meet the performance and power requirements of AI applications. * Propose and evaluate architectural innovations to improve throughput, latency, energy efficiency, and scalability of AI processing. * Produce thorough documentation to articulate design decisions and architectural trade-offs to stakeholders. * Participate in design reviews, providing critical feedback and insights to improve chip quality and performance. * Oversee and contribute to the entire lifecycle of the chip design process, from specification to production and post-production support. * Mentor junior engineers and contribute to a culture of technical excellence.
The ideal candidate will have experience in customer-facing roles and success in leading in-depth technical Application development architecture discussions with senior customer executives, Architects, IT Management, and Developers to drive value to our customers and is open to travel to customer site as needed by business. • Understanding Customer/Partner Technical Environment (Insights about Customer/Partner and Industry): Gather customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and map architecture and digital transformation solutions to customer/partner business outcomes. Adapt business models, plans, and solutions to insights. • Understanding Customer/Partner Technical Environment (Internal Advocacy): Act as the voice of the customer (VOC)/partner by driving new feedback, gaps, blockers, insights, resources, etc. across communities to track, add, and prioritize, using established channels (e.g., UAT/TFT). • Architecture Design and Deployment (Architecture Proposals): Receive and synthesize data about customer/partner business and technical requirements, address them with technical architecture(s), demonstrate and prove those solutions capability and business value through design collaboration sessions with the customer/partner. • Architecture Design and Deployment (Requirements and Constraints): Apply broad technical knowledge across various architecture solutions to meet business and information technology (IT) requirements and resolve identified technical constraints. Help to shape and enhance customers' requirements. • Application Development, Architecture Design and Deployment (Resolving Blockers): Identify, escalate, and work to resolve technical blockers (e.g., changing configurations, sample coding) to accelerate architecture implementations and routes non-technical issues for removal by the appropriate party. • Trusted Advisor (Challenger Mindset): Respectfully challenge customers/partners when going in the wrong direction and escalate appropriately. • Trusted Advisor (Competitor Insights/ Differentiated Value Proposition): Understand the competitor's architecture solutions and identify Microsoft's strengths over competitive solutions to drive conversations with customers/partners and convince them of solution. • Customer Usage: Lead architecture design, resiliency reviews, and technical optimization that result in production deployment application and increase customer business value. Drive efforts to ensure that the customer's environment and applications are well-architected. • Customer Satisfaction – Deliver positive Customer Satisfaction and become trusted advisors to customers by leveraging solution area expertise to enable defined Customer Success Plan outcomes.