The AI & Data Governance Engineer will implement governance frameworks for AI agents and data across the Microsoft estate for enterprise clients. This includes configuring Copilot Studio guardrails, managing Purview controls, and building operational playbooks for AI lifecycle management.
The Sr. AI Governance Architect will design and implement enterprise-wide AI and agent governance frameworks across the Microsoft ecosystem. This role involves leading client engagements, defining data readiness strategies, and establishing AI Centers of Excellence to ensure safe and scalable AI adoption.
The consultant will design and implement governance frameworks for Power Platform, Microsoft 365, and Azure environments. They will also provide hands-on configuration for AI guardrails, ALM processes, and client-facing technical workshops.
The AI Engineering Solutions Architect will lead enterprise discovery sessions and design scalable solutions across the Microsoft cloud ecosystem. They are responsible for shaping engagements, producing high-quality statements of work, and ensuring successful handoffs between sales and delivery teams.
The Security Architect will design and execute enterprise deployments of Microsoft security solutions, including Defender XDR and Sentinel. They will act as a subject matter expert to improve the security posture of client cloud and on-premises environments.
Design and implement comprehensive Microsoft Purview solutions for data governance, compliance, and risk management across Azure and Microsoft 365 platforms. Provide technical leadership and guidance to stakeholders while ensuring organizational policies align with regulatory standards.
Lead the design and delivery of enterprise-grade AI copilots using Microsoft Copilot Studio while serving as a trusted advisor to stakeholders. Define scalable AI architectures, ensure secure governance, and oversee the end-to-end implementation of copilot solutions across client ecosystems.
