Microsoft Principal Software Architect 

United States, Washington 

907712104

We are seeking an accomplishedwith 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.

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience in ML architecture and engineering and ML lifecycle and pipelines, along with experience leading large-scale initiatives in a complex, fast-paced environment.
• Proven experience in architecting and deploying ML models in production environment

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check:This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred:

• Experience with Retrieval-Augmented Generation (RAG) architectures and AI model management.
• Knowledge of security and compliance frameworks in ML-driven environments.
• Prior experience leading AI/ML initiatives in an enterprise setting.
• Experience with cloud infrastructure automation tools and techniques.
• Experience working with AI/Machine Learning services and platforms.
• Familiarity with Microsoft Azure’s security and compliance frameworks.
• Exceptional communication and collaboration skills, with the ability to influence and drive cross-functional initiatives.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until October 22, 2024.

• Lead 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.