Principal AI Architect at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Infrastructure Design, Networking Solutions, Agentic AI, Multi-Agent Orchestration, Generative Models, Large Language Models, Autonomous Workflows, Intelligent Decision-Making, Infrastructure as Code, Cloud Platforms, Collaboration, Problem Solving, AI Safety, Open-Source Contribution, Mentorship

Industry

Software Development

Description

Architect the Next Frontier: Design and deliver AI-driven infrastructure and networking solutions that leverage the latest in agentic AI, multi-agent orchestration, and generative models (LLMs, diffusion, etc.) to enable self-optimizing, self-healing, and adaptive systems. Drive Agentic Transformation: Lead the integration of agent-based architectures, enabling autonomous workflows, intelligent decision-making, and seamless collaboration between human and AI agents across the enterprise. Innovate at Scale: Partner with engineering, product, and research teams to bring state-of-the-art AI research into production—deploying scalable, secure, and resilient solutions that power mission-critical workloads. Champion AI-First Culture: Mentor and inspire teams to adopt AI-native engineering practices, foster a culture of experimentation, and accelerate the democratization of AI tooling and knowledge across the organization. Shape Industry Standards: Influence the evolution of infrastructure as code (IaC), network as code (NaC), and AI-driven observability, setting new benchmarks for operational excellence and reliability. Bachelor's Degree in Computer Science or related technical field 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. 5+ years experience architecting and delivering large-scale, production-grade infrastructure or networking systems. Experienced building AI-driven agentic solutions from conception to scale, including work with the latest AI technologies such as large language models (LLMs), generative AI, multi-agent orchestration, MCP and platforms like Azure AI Foundry, GitHub Copilot, Claude, etc. Experienced building and deploying agentic AI solutions, autonomous workflows, or intelligent automation at scale. Experienced with IaC/NaC tools (Terraform, Ansible, Azure Resource Manager, etc.) and cloud platforms (Azure, AWS, GCP). Skilled at cross divisional relationship building and ability to collaborate with partners; able to pull together technology and expertise across M365, Windows, and Azure to drive clarity across teams, agree on dependencies and common goals, and establish long-lasting, trusted relationships with partner teams. Ability to drive for results and influence for impact; able to drive clarity, communicate goals to key stakeholders, and motivate them to execute on time and at a high quality. Proactively identifies problems, proposes solutions, with demonstrated ability to navigate ambiguity. Experienced in AI concepts, architecture, and a proven track record as a change agent—able to drive adoption of new technologies and practices across teams. Understanding of AI safety, security, and responsible AI practices. Ability to translate research breakthroughs into practical, scalable solutions. Able to set strategy, influence stakeholders, and inspire teams to achieve ambitious goals. Experience contributing to open-source, standards, or industry consortia in AI or infrastructure domains.

Responsibilities

Design and deliver AI-driven infrastructure and networking solutions. Lead the integration of agent-based architectures to enable autonomous workflows and intelligent decision-making across the enterprise.