Our partner is looking for a Lead GenAI SaaS / Platform Engineer based in India. We are looking for an experienced Lead GenAI SaaS / Platform Engineer to drive the architecture, administration, security, and governance of enterprise generative AI platforms. In this hands-on leadership role, you will oversee the integration and scaling of advanced AI solutions, including enterprise LLM platforms and internal AI tools, across a global business environment. You will design secure integrations, automate platform operations, and establish robust identity and access management frameworks. Working at the intersection of SaaS engineering, cloud infrastructure, cybersecurity, and artificial intelligence, you will help organizations adopt generative AI responsibly and efficiently. You will collaborate with security, workplace IT, and infrastructure teams to ensure seamless integrations and reliable platform operations. This remote opportunity offers the chance to shape enterprise AI capabilities while working with emerging technologies and innovative solutions. Accountabilities - GenAI Platform Administration: Own the end-to-end administration, configuration, governance, and lifecycle management of enterprise generative AI platforms, including ChatGPT Enterprise, Claude, and other internal AI solutions. - Design and maintain scalable SaaS architectures that support enterprise-wide AI adoption, ensuring platform reliability, performance, and operational efficiency. - Develop and implement Model Context Protocol (MCP) connectors, REST API integrations, and secure data pipelines to connect LLM platforms with enterprise applications, systems, and business tools. - Identity & Access Management: Establish and maintain enterprise-grade authentication and authorization frameworks using SAML 2. 0, SCIM provisioning, OAuth, and role-based access control (RBAC),



leveraging Okta and Microsoft Entra ID. - Security & AI Governance: Define and enforce security policies, data privacy controls, compliance requirements, and responsible AI usage guidelines to ensure secure and controlled adoption of generative AI technologies. - Develop automation scripts and operational workflows using Python or PowerShell to streamline user provisioning, platform configuration, usage monitoring, and policy enforcement. - Platform Monitoring & Reliability: Monitor platform health, availability, performance, and usage across enterprise environments, identifying operational risks and implementing preventive improvements. - Incident & Escalation Management: Lead complex technical troubleshooting and Tier 3 incident escalations, ensuring timely resolution and minimizing service disruptions. - Consumption & License Management: Monitor AI platform consumption, licensing metrics, user activity, and operational costs to optimize resource utilization and platform efficiency. - Cloud Infrastructure Operations: Support reliable platform operations across AWS and Azure environments, ensuring appropriate logging, monitoring, security, and infrastructure integration. - Partner with Security, Workplace IT, endpoint engineering, and MDM teams to coordinate platform requirements and align SaaS architecture with enterprise technology standards. - Continuous Improvement: Stay informed about emerging LLM technologies, AI integration standards, and SaaS engineering practices to continuously improve enterprise AI capabilities. Requirements - 8–12 years of skilled experience in Enterprise SaaS Engineering, Cloud Infrastructure, Platform Engineering, or Enterprise Platform Administration. - Strong hands-on experience designing, implementing, and managing enterprise SaaS platforms and complex technical environments.

📌 Lead Platform Engineer - Fully Remote (India)
🏢 Jobgether
📍 India