Design, build, and deploy AI agents using Microsoft Copilot Studio, aligned to real business processes and roles.
Translate manual or semi-structured business workflows into autonomous agents using low-code/no-code tools within the Microsoft ecosystem.
Implement agentic behaviors, including planning, tool use, contextual memory, and reflection, to deliver intelligent task execution.
Integrate Copilot solutions with enterprise systems such as Power BI, SharePoint, Outlook, and Teams.
Support internal teams in enablement, governance, lifecycle management, and safe experimentation with Copilot agents.
Develop and iterate on prompt templates, AI guardrails, fallback strategies, and continuous feedback loops to improve agent performance.
Partner with IT, data, and security teams to ensure responsible, governed, and scalable agent deployments.
Embed alongside client analytics and BI teams in a staff‑augmentation model, pairing on real Glean use cases while modeling best practices in semantic modeling, governance, and agent design.
Lead recurring enablement touchpoints (developer workshops, guided build sessions, office hours) to help client teams independently design, deploy, and iterate on Glean agents.
Co‑create reusable enablement assets (playbooks, labs, prompt libraries, “how‑to” guides) that client champions can use to scale training across business units.
Requirements
3–6 years of experience in enterprise automation, digital transformation, or AI-enabled consulting.
Direct experience with Microsoft Copilot Studio or similar low-code AI platforms (e.g., Glean, AgentForce, Amazon Q Business, OpenAI Agent Builder).
3-5 years of BI experience, including advanced knowledge of ETL, SQL, and data visualization best practices.
Solid understanding of semantic layers, identity/access management, and Microsoft 365 security/compliance boundaries.
Experience facilitating automation/AI discovery and prioritization sessions (process mapping, value sizing, ROI modeling) with business stakeholders.
Passion for enabling the business to develop their own business process solutions with technology
Familiarity with prompt engineering, iterative design cycles, and user testing for AI workflows.
Strong collaboration and communication skills across business and technical audiences.
Exposure to Power Platform, Azure OpenAI, n8n, or broader AI orchestration tools is a plus.