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
Tech Stack
AWS
Azure
Cloud
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)