微软Sr Cloud Solution Architect -- Cloud & AI Apps
任职要求
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting• OR equivalent experience Preferred: • Master’s degree or above in Computer Science, Artificial Intelligence, or related fields (PhD preferred). • Research background in Machine Vision, NLP, or related AI domains. • 5+ years of professional experience in AI development and applied research. • Strong knowledge of Transformer architectures, Generative AI (GenAI), and Agentic AI. • Hands-on experience with Retrieval-Augmented Generation (RAG) and agent-based AI applications. • Proficiency in programming with Python and Java. • Familiarity with containerization (Docker), Kubernetes (K8s), and cloud-native environments. • Proven…
工作职责
• Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. • Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. • Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. • Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. • Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. • Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. • Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. • Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. • Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. • Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. • Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.
• Drive Migration MDU and cross functional team in large scale opportunity development and closing including building business cases, proposals and plans to help customers identify and realize business value outcomes through migration and modernization into the AWS platform • Work with sales and marketing to identify and execute campaign to build the funnel of opportunities. • Lead cadence with cross functional teams and stakeholders for pipeline and deal reviews and drive continuous improvement. • Periodically document and present Migration business results, insights, learnings and recommendations to leadership.
- Drive two-digital revenue and market share growth within assigned strategic/named accounts in the Logistics sector - Develop and execute comprehensive account plans and manage all key customer relationships, including strong C-level engagement - Accelerate customer adoption by identifying new opportunities, expanding existing usage, and leading customers through cloud migration journeys - Maintain a robust customer pipeline with accurate forecasting and reporting - Manage complex contract negotiations and work with partners to extend reach and drive adoption
The Role We are Tesla Energy Team. We are building highly distributed energy network to support company vision of accelerate world’s transition to a sustainable energy. The Energy Team is seeking hardworking and passionate software engineers as various levels. Responsibilities • Design and develop high quality, scalable and stable back-end services. • Develop back-end web services. • Follow Tesla’s high standards for security-best practices in all development. • Partner closely with security team for code analysis and design reviews. • Perform unit testing. • Process bug reports and release fixes. • Participate in code reviews. • Participate in agile processes. • Always think innovatively to solve customer problems.
OverviewThe Data and AI team in Microsoft CoreAI is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot through VSCode, Visual Studio, Github.com and Azure. We are seeking an entrepreneurial and creative Senior Research Scientist to lead cutting-edge projects from concept to product. In this role, you will collaborate with scientists, engineers, and designers across Microsoft Research, Microsoft product teams, and GitHub. You will have the opportunity to build and train state-of-the-art models, apply and advance techniques for leveraging LLMs in software engineering, including RAG and evaluation, and partner closely with developer product teams to run large scale experiments, evaluate results, and continuously improve AI solutions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities• Lead the development and evaluation of state-of-the-art models for code completion and editing, pushing the boundaries of code understanding, generation, fix and review. • Develop retrieval-augmented systems that improve a model’s awareness of large and complex codebases, enabling context-rich code assistance. • Design and prototype efficient inference algorithms to enable fast, interactive code generation experiences at scale. • Collaborate across disciplines with product teams across Microsoft and Github • Stay up to date with the research literature and product advances in AI for software engineering