AI Platform Administrator
Posted 7hrs ago
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Job Description
AI Platform Administrator responsible for overseeing AI platforms and governance ensuring reliable, secure, and compliant operations. Bridging gap between IT and end-users for smooth integration of AI systems.
Responsibilities:
- Manages AI platforms and environments, including access provisioning, governance controls, and policy enforcement (e.g., DLP, security, and compliance)
- Develops reusable components (e.g., prompts, connectors, APIs, templates) to accelerate AI solution delivery and promote standardization across use cases
- Designs and maintains the foundational AI infrastructure, frameworks, and observability capabilities (telemetry, monitoring, metrics) required for scalable, reliable, and governed AI operations
- Enforces security protocols, data handling rules, and role-based access controls in collaboration with InfoSec and Legal
- Oversees workspace configuration, user provisioning, single sign-on (SSO), and licensing
- Connects AI tools with core enterprise software (like HRIS, CRMs, and document repositories)
- Creates internal training materials, troubleshooting guides, and tracks AI usage metrics to drive value realization
- Tracks platform performance, API error rates, and token consumption to optimize operational costs
Requirements:
- 2–5+ years in SaaS platform administration, IT operations, cloud computing, or systems administration
- 5+ years of familiarity with APIs, cloud platforms (AWS, Azure, Google Cloud), and workflow automation tools
- Ability to train staff, translate technical concepts for business users, and address support queries
- A solid grasp of data privacy laws, data residency rules, and AI ethics
Benefits:
- 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)

















