Cloud Solution Architect, AI Workforce

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $85,100–$169,800 / yr
Posted: 85 days ago
Nearby: 93 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k

This role $127k

$69k most similar roles pay here $232k

This role pays less than 90% of similar roles. Most pay $142,400–$214,850 — the shaded band above. At the midpoint, this role pays about $127k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Cloud Solution Architect, AI Workforce

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As a Cloud Solution Architect - AI Workforce specializing in AI Agents & Evaluations, you will join the global AI Workforce team as a senior-level expert, driving enterprise-scale adoption of agentic workflows using M365 Copilot, Microsoft Copilot Studio, and AI Agents. Your daily responsibilities include architecting and deploying AI agent solutions, defining evaluation strategies for performance and compliance, mentoring peers, and shaping product direction through customer insights. You will leverage advanced technologies such as TypeSpec, the Microsoft 365 Agents Toolkit, and orchestration patterns to deliver innovative agentic frameworks that ensure security and operational excellence. This role requires expertise in Azure AI workloads, Copilot extensibility, evaluation methodologies for AI systems, and a strong understanding of compliance frameworks and responsible AI principles.

Skills

Azure Microsoft Copilot Studio TypeSpec Microsoft 365 Agents Toolkit RAG Kubernetes CI/CD DevOps Python PostgreSQL Prometheus Grafana Terraform GitHub GitLab Jenkins Ansible Docker Kafka Redis Azure AI Workloads Compliance Frameworks Responsible AI Principles

What you'll do

Architect and deploy AI agent solutions using Microsoft Copilot Studio and Agent Builder.
Define performance evaluation strategies for AI agents focusing on reliability and safety.
Mentor peers and guide readiness efforts aligned with corporate priorities like security.
Influence product roadmaps by synthesizing customer insights and challenges.
Deliver operational excellence and manage risk in AI-enabled solution deployments.

What we're looking for

Bachelor's Degree or equivalent 5+ years experience in cloud/infrastructure technologies and IT consulting/support.
Advanced expertise in Azure/M365 administration, development, and DevOps processes.
Proven proficiency in Azure AI workloads, Copilot extensibility, and agentic frameworks.
Strong understanding of evaluation methodologies for AI systems (offline and real-time).
Demonstrated ability to lead technical engagements across global enterprise customers and drive adoption of AI-powered workflows at scale.
Excellent consultative skills and capability in risk management and governance for AI deployments.