AI Product Architect Enterprise Copilot & AI Solutions

5316 Role: AI Product Architect Enterprise Copilot & AI Solutions (MS Solutions) Day-to-Day Evaluate, test, and position new Microsoft Copilot features within the BMW Group AI portfolio Design and lead enterprise rollout plans for Copilot, Agents, and AI extensibility scenarios Architect solutions for Copilot Agents, agent interfaces, and enterprise knowledge experiences Define integration patterns using Microsoft Graph Connectors and Copilot Search / knowledge sources Lead complex, cross-functional AI adoption initiatives from concept to enterprise scale, 5315 Role: AI Security & AI Governance Specialist (MS Solutions) Day-to-Day Define and operate enterprise AI governance guardrails for Copilot and AI-enabled workloads Configure and manage AI related Microsoft Purview policies (DLP, labels, retention, audit) Monitor AI-related data risk and compliance posture; drive remediation Support audits, privacy reviews, and security assessments with evidence-ready outputs Partner across Security, Privacy, Legal, and Product teams to enable safe AI adoption

Strong experience with Microsoft 365 Copilot architecture, feature lifecycle, and rollout planning Ability to interpret new AI features and align them to enterprise use cases and product strategy Hands-on knowledge of Copilot extensibility, including agents, connectors, and data sourcing Strong architectural documentation and executive communication skills Experience leading large-scale enterprise initiatives across IT, Security, and Business teams (e.g., portfolio, roadmap, demand intake)

Nice to Haves Experience with Copilot Studio, custom agents, or AI orchestration patterns Familiarity with Microsoft Graph, data integration for search/knowledge architectures Exposure to AI governance, security, or compliance considerations in solution design Highly regulated industry experience (i.e EU, automotive, State or Federal Government, etc.) Onsite requirement: Must be onsite at least 2 days per week. This is subject to change. 5317 Role: AI Governance & Adoption Lead AI Portfolio & Enablement (MS Solutions) Day-to-Day Own AI portfolio standardization, including use case taxonomy, naming, positioning, and lifecycle governance Define and execute communications and adoption strategies for Copilot and enterprise AI services Develop and curate enterprise AI use cases, patterns, and success stories aligned to business priorities Drive user adoption through establishing/coordinating multi channel enablement (training, learning paths, campaigns, community) Business and stakeholder engagement, feedback collection, and technical translation to facilitate the best adoption paths within the organization. Must Haves Experience leading AI or M365 product adoption at enterprise scale Strong background in governance frameworks for digital or AI portfolios Proven ability to translate technical AI capabilities into business ready use cases Experience designing communications, training, and change programs for diverse user groups Strong stakeholder management and executive communication skills Nice to Haves Experience with Copilot for Microsoft 365 adoption or large productivity transformations Familiarity with change management and learning methodologies (champion programs, communities of practice) Experience working with Corporate Communications or Marketing teams Exposure to AI governance, privacy, or responsible AI principles Global enterprise or regulated-industry experience Onsite requirement: Must be onsite at least 2 days per week. This is subject to change., Hands-on experience with Microsoft Purview in an enterprise M365 environment (eDiscovery, DRP, DLP) Strong background in data security and technical governance (policy enforcement monitoring) Knowledge of M365 workload data flows (SharePoint, Teams, OneDrive, Exchange) Experience supporting compliance, audit, or regulatory requirements Ability to translate security and governance controls into business-level guidance

Nice to Haves Experience governing Copilot for Microsoft 365 or AI agents in production Familiarity with AI risk areas (data leakage, oversharing, sensitive data exposure) Automation or reporting experience (PowerShell, Graph, Power BI, KQL) Onsite requirement: Must be onsite at least 2 days per week. This is subject to change.