Principal Software Engineer

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their highly qualified contributions each day. Join us and help shape the future of the world.

The mission of Commercial Engineering & AI (CEAI)- is to accelerate the frontier transformation of Microsoft Commercial business with AI native engineering. In doing so we power one of the largest businesses in world to achieve more. 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.

 As a Principal  Software Engineer, you will define and drive the end-to-end Cloud + AI + Agentic architecture for the next generation of tools/applications/agents for Customer Success and Consulting businesses within Microsoft. You will partner with engineering and product leadership to deliver secure, reliable, scalable, cost-effective AI systems and establish a roadmap for Agentic era of Customer Success and Consulting.

 This is a high-impact architecture leadership role requiring broad technical depth, cross-team influence, and solid collaboration across engineering, product, data, security/compliance, and partner ecosystems—enabling others to execute at scale through shared standards, reusable patterns, and reference implementations.

 If you enjoy working in a collaborative and agile environment where you can apply your technical skills and creativity into a security space and thrive on addressing real world problems, we are looking for you. 

Responsibilities

The Principal AI Architect is responsible for the following:

 Architecture Strategy & Roadmap (Cloud + AI + Agentic)

• Own the reference architecture and technical roadmap for AI/Agentic platform capabilities (e.g., orchestration, skills, tools/plugins, memory, retrieval, evaluation, observability, governance).
• Translate Customer Success business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability. 
• Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”). 

Technical Leadership & Architectural Governance

• Lead architecture/design reviews for major initiatives; drive alignment on system boundaries, contracts, dependency management, and resiliency.
• Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
• Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation. 

Responsible AI, Security, Privacy, and Compliance by Design

• Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
• Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation. 
• Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems. 

 Platform Reliability, Operability & Cost Management

• Drive architecture that improves reliability, observability, incident response readiness, and cost efficiency across AI-enabled services.
• Establish telemetry standards (quality, safety, latency, cost, success metrics) and ensure teams instrument consistently to enable operational excellence at scale. 
• Design for production: rollout/rollback strategies, evaluation gates, and operational playbooks for AI/agent releases.

 Cross-Org Influence & Coalition Building 

• Build coalitions across broader Microsoft engineering/product groups to deliver complex, large-scale initiatives; resolve long-standing misalignments; and hold stakeholders accountable for commitments.
• Act as a trusted technical advisor to senior stakeholders, creating clarity, driving alignment, and enabling execution across multiple teams and disciplines.

Mentorship, Technical Community, and Talent Scaling

• Mentor engineers; enhance architecture quality, engineering discipline, and Resp