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The Edge AI group drives play a major role in Microsoft specialized clouds strategy by delivering AI to customers managed hardware for both connected and disconnected operations. Working on the edge appliances requires the team to work across various hardware configurations, optimize AI for different hardware categories, connect AI to data sources to provide the right context for the AI to the customers’ business needs and more.
Job Responsibility:
Serves as a senior technical leader and architect within the organization
Driving architecture and system design across one or more major product areas or multiple teams
Tackling highly ambiguous technical problems and raising the engineering bar through technical leadership and mentorship
Leading critical architectural decisions
Partnering closely with engineering and product leadership
Delivering sustained, high impact technical outcomes
Act as AI Thought Leadership and Technical Foresight
Serve as a trusted source of technical insight into AI trends, technologies, and architectural patterns relevant to Edge AI
Actively track and evaluate developments in AI systems, model architectures, tooling, hardware acceleration, and industry direction
Synthesize external and internal signals into clear technical perspectives
Proactively share insights with engineering and product leadership
Requirements:
At least 10 years of professional software engineering experience, with demonstrated ownership of complex systems
Proven expertise in software architecture, system design, and distributed systems
Proven ability to lead complex technical initiatives across teams without direct authority
3-5 years of experience with K8S
B.Sc. in Computer Science or equivalent
High profession level of technical judgment and ability to operate effectively in high-ambiguity environments
Ability to write professional, comprehensive technical documents
Proven understanding of the AI stack from Hardware to software
Relevant experience in corporates
Skills to leverage AI in coding, testing, building automation, and day-to-day work
Experience with developing and operating code in the cloud on Azure / AWS / GCP
Able to build tools and infrastructure to improve shipping and ensure software quality
Proven presentation skills, ability to work across organizations, present to leadership