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Adaptive cloud is a new and exciting domain, bridging the gaps between cloud environment and edge devices, so that our customers can run their workloads where it best suits them. This is an opportunity to influence the security of this domain, covering cloud security, OS environments, deployment challenges and end to end research.

The Edge & Platform Security Fundamentals (EPSF) org ensures we ship the world's most secure operating systems, cloud platforms, and edge devices. We conduct research into the highest priority attack surfaces and scenarios, including into Microsoft strategic investments such as Adaptive Cloud, AI, and next generation OS. Our research teams include leading researchers in this domain, finding and fixing critical issues, and developing techniques and tools that help us scale the security research.

Being part of EPSF IL, you will build a new team of security researchers tasked with helping Microsoft ship the most secure products in the new domain of Adaptive cloud. The ideal candidate will have broad experience in both cloud security research as well as OS and container security, and with leadership qualities to lead additional researchers in hands on research.
Responsibilities

Build a new security research team from the ground up, defining the targets and roadmap.
Lead the work of a security focused research team across multiple concurrent projects.
Perform strategic and independent security research, discover new bug classes and offensive techniques.
Collaborating with partner teams and organizations on research findings to maximize security impact.
Contribute to improving the security posture of Adaptive cloud products.
Evaluate tools, techniques, and procedures for feasibility, effectiveness, and impact.
Develop and refine offensive security knowledgebases, guides, and training.
Contribute to tooling and automation for security research, including bug discovery automation and analysis.

As a Cloud Solution Architect aligned to the Azure AI platform for Microsoft's Customer Experience & Success (CE&S) organization, you will enable customers to achieve their outcomes based on their investments in Microsoft technology. Leveraging your Microsoft Azure Artificial Intelligence (AI) and Machine Learning (ML) technical subject matter expertise, you will lead technical conversations with customers and Microsoft colleagues, driving value to their organization. This is a hands-on role that includes accelerating customer adoption by building Generative AI solutions and identifying resolutions to unblock customer success projects. You will also drive product influence with Engineering through technical feedback and increase technical intensity with the Field teams. This opportunity will allow you to accelerate your career growth, honing your technical and collaboration skills, and deepening your cloud expertise.

The Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsofts end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.

Microsofts 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
Accelerate new customer opportunities from Proof of Concept (PoC) to Production for Azure AI workloads such as Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning
Provide customers with Generative AI expertise and advisory through architecture designs, proof of concepts, production reviews, and post-sales support.
Expand and grow Azure AI adoption for existing customer base.
Lead and provide guidance in technical escalations to unblock AI customers in collaboration with Microsoft stakeholders.
Provide expert perspective to key stakeholders to increase platform adoption through customer insights & feedback on a regular basis.
Drive product improvement and influence roadmap with Engineering through deep technical insights.
Increase AI technical intensity in the field through upskilling, sharing best practices, and scaling repeatable IP