Solutions Engineer - M365 Copilot & Agents

Role overview

Advise enterprise customers on adopting and operating workplace AI assistants and agents securely, effectively, and within budget. The work combines technical assessments, deployment support, identity and data protection, agent governance, consumption management, and customer education. The role covers the lifecycle from readiness and pilots through broader rollout and ongoing oversight.

Responsibilities

- Assess customer environments for identity, security, compliance, licensing, information architecture, collaboration, and data readiness; identify exposure risks such as excessive access, unmanaged content, or ownerless sites. - Plan and support deployments, validating prerequisites, configuring services, organizing pilots, and helping customers expand adoption. - Explain how identity, permissions, content quality, and information structure affect AI access to information and answer quality; recommend practical remediation. - Establish governance for agents, including inventory, ownership, registration, monitoring, approvals, exception handling, reviews, transfers, and retirement. - Apply appropriate identity, access, data protection, auditing, retention, and security controls; advise on governance for low-code agent tools, environments, connectors, and sharing. - Help customers set consumption policies, usage limits, alerts, and allocation approaches; review usage and cost trends and recommend ways to manage spending.

Requirements

- Strong experience administering and securing enterprise collaboration and productivity environments, with the ability to assess complex customer tenants. - Practical knowledge of identity and access controls, information protection, compliance, permissions, and data governance. - Ability to advise on agent lifecycle management and translate security and governance needs into workable operating practices. - Experience with automation, such as scripting, and confidence explaining technical findings and recommendations to customers. - Strong customer advisory, communication, and workshop skills, with sound judgment around privacy, responsible AI, security, and financial accountability. - Willingness to travel to customer, partner, or industry events as needed, and to keep skills current as the technology evolves.

Nice to have

- Experience governing agent-building platforms, connectors, APIs, or AI usage-based costs at enterprise scale. - Background in consulting, professional services, assessments, or customer workshops; experience establishing AI governance groups or policies. - Relevant certifications in cloud administration, identity, security, compliance, AI, or low-code solution architecture. - Familiarity with reporting and monitoring tools for usage, security, or operational trends.

Benefits and work setup

- The listing gives an estimated annual pay range of $150,000–$207,000, including base pay and bonus; actual compensation depends on experience, skills, and location. - Benefits may include medical, vision, dental, retirement savings, and flexible spending options.