AI Platform Administrator

Role Description Looking for AI Platform Administrator experience in managing and governance of an organization's enterprise AI tools (like Microsoft Copilot). They bridge the gap between IT and end-users, ensuring that AI systems are reliable, secure, compliant, and integrated smoothly into daily business operations. AI Platform Admin (M365, Copilot Studio): Manages AI platforms and environments, including access provisioning, governance controls, and policy enforcement (e.g., DLP, security, and compliance). AI Reusable Utility: Develops reusable components (e.g., prompts, connectors, APIs, templates) to accelerate AI solution delivery and promote standardization across use cases. AI Common Infrastructure, Framework & Observability Architect (AWS and Azure): Designs and maintains the foundational AI infrastructure, frameworks, and observability capabilities (telemetry, monitoring, metrics) required for scalable, reliable, and governed AI operations. Key Responsibilities Platform Governance & Security: Enforces security protocols, data handling rules, and role-based access controls in collaboration with InfoSec and Legal. User Management: Oversees workspace configuration, user provisioning, single sign-on (SSO), and licensing. Integrations & Workflows: Connects AI tools with core enterprise software (like HRIS, CRMs, and document repositories). Adoption & Enablement: Creates internal training materials, troubleshooting guides, and tracks AI usage metrics to drive value realization. Health Monitoring: Tracks platform performance, API error rates, and token consumption to optimize operational costs. Qualifications Experience: 2–5+ years in SaaS platform administration, IT operations, cloud computing, or systems administration. Technical Skills: 5+ years of familiarity with APIs, cloud platforms (AWS, Azure, Google Cloud), and workflow automation tools. Communication: Ability to train staff, translate technical concepts for business users, and address support queries. InfoSec Knowledge: A solid grasp of data privacy laws, data residency rules, and AI ethics. Requirements Compliance with Client’s responsible AI principles and Acceptable Use policy. Adherence to data residency, privacy (GDPR, HIPAA where applicable), and 21 CFR Part 11 controls where in scope. Third-party risk assessment and SOC 2 Type II (or equivalent) certification. Disclosure of subcontractors and offshore delivery locations. Disclosure of model providers, training data practices, and any use of client data for model improvement (opt-out required).