Lead GenAI SaaS / Platform Engineer
Jobgether (company site, opens in a new tab)8–12 yrsRemoteDirect career pageEst. 30–48 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, administration, security, and governance of enterprise generative AI SaaS platforms including ChatGPT Enterprise and Claude.
- Design scalable SaaS architectures and integrate AI platforms with enterprise applications via REST APIs and Model Context Protocol connectors.
- Establish identity and access management frameworks (Okta, Microsoft Entra ID) and lead platform monitoring, incident resolution, and cross-team collaboration.
Minimum Requirements
- 8–12 years experience in Enterprise SaaS Engineering, Cloud Infrastructure, Platform Engineering, or Platform Administration.
- Hands-on expertise with IAM technologies: Okta, Microsoft Entra ID, SAML 2.0, SCIM, OAuth, RBAC.
- Practical familiarity with enterprise generative AI platforms and AI governance; experience with ChatGPT Enterprise or Claude is a strong advantage.
- Proficiency in Python or PowerShell for automation; experience with REST API integration; knowledge of AWS or Azure cloud operations.
Ideal Candidate Profile
- Experienced leader with proven capacity to own end-to-end enterprise AI platform initiatives and scale SaaS architectures globally.
- Strong technical expertise at the intersection of SaaS engineering, cloud infrastructure, identity management, and AI platform security.
- Demonstrates ability to work cross-functionally with security, IT, and infrastructure teams to ensure alignment and operational reliability.