Principal Software Architect
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 01, 2024 | |
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OverviewSecurity represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.Copilot for Security, the first security focused generative AI product, is at the forefront of Microsoft's AI revolution and reimagines how security gets done and how we do security. It empowers security and IT teams to protect at the speed and scale of AI making them more productive and skilled. Copilot for Security is also an AI platform, tailored to the security space, that enables GAI capabilities to be integrated in the existing 1st party and 3rd party security products and services. As pioneers in the field, we are committed to addressing the evolving challenges and opportunities within the realm of cybersecurity and continue to be the market leaders when it comes to GAI and Security. We are seeking an accomplished Principal Software Architect with deep domain expertise in Security, AI technology and distributed systems to partner with the chief architect to evolve the platform to support the rapid pace of technological advancement in the AI space. In this pivotal role, you will be instrumental architecting the AI production services to meet and exceed our customers' (developers and researchers) requirements. You will collaborate closely with engineering leaders across various teams to define our architecture vision of scalable ML-driven systems, chart a strategic path, and ensure that our services are robust and resilient for large enterprise customers. The ideal candidate will have deep experience in both software architecture and machine learning, capable of bridging the gap between data science and engineering to build robust, efficient, and scalable systems. You will play a key role in designing end-to-end ML pipelines, ensuring system scalability, reliability, and integration with other business-critical systems.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.
ResponsibilitiesLead the architectural design and development of end-to-end ML solutions.Collaborate with data scientists, ML engineers, software engineers, and product teams to transform ML models into production-grade solutions.Design scalable, high-performance ML pipelines for real-time and batch processing, ensuring alignment with business objectives.Define architectural best practices for ML-driven applications, including data pipelines, model deployment, and monitoring.Evaluate and integrate ML frameworks, libraries, and technologies to ensure efficient implementation.Oversee the governance, compliance, and security aspects of the ML architecture.Optimize and automate model training, deployment, and monitoring in collaboration with the engineering teams.Ensure that ML systems are built with fault tolerance, performance, and observability in mind.Work closely with stakeholders to align technical strategy with business needs.Stay up to date on the latest trends in machine learning, AI, and software architecture. | |