Job Summary

- Lead the onboarding of enterprise applications and business units onto the AI Access Layer, ensuring seamless migration from direct LLM integrations.
- Assess existing application architectures, AI usage patterns, and integration dependencies to develop tailored onboarding and migration plans.
- Design and implement secure connectivity, authentication, authorization, and API integration frameworks for application onboarding.
- Collaborate with application owners, development teams, cloud engineers, and security stakeholders to ensure compliance with enterprise AI governance standards.
- Support tenant provisioning, setting configuration, access management, and onboarding activities across development, testing, and production environments.
- Validate application compatibility with AI Access Layer services, including model routing, prompt management, observability, and consumption controls.
- Define and execute onboarding checklists, readiness assessments, testing strategies, and go-live validation processes to minimize deployment risks.
- Provide technical consultation and troubleshooting support during migration, integration, and post-deployment stabilization phases.
- Establish onboarding documentation, architecture patterns, integration templates, and operational runbooks to accelerate future tenant onboarding activities.
- Track onboarding progress, adoption metrics, service consumption trends, and migration outcomes while driving continuous improvements to the onboarding framework.

Key Responsibilities

- Lead the onboarding of enterprise applications and business units onto the AI Access Layer,



ensuring seamless migration from direct LLM integrations.
- Assess existing application architectures, AI usage patterns, and integration dependencies to develop tailored onboarding and migration plans.
- Design and implement secure connectivity, authentication, authorization, and API integration frameworks for application onboarding.
- Collaborate with application owners, development teams, cloud engineers, and security stakeholders to ensure compliance with enterprise AI governance standards.
- Support tenant provisioning, environment configuration, access management, and onboarding activities across development, testing, and production environments.
- Validate application compatibility with AI Access Layer services, including model routing, prompt management, observability, and consumption controls.
- Define and execute onboarding checklists, readiness assessments, testing strategies, and go-live validation processes to minimize deployment risks.
- Provide technical consultation and troubleshooting support during migration, integration, and post-deployment stabilization phases.
- Establish onboarding documentation, architecture patterns, integration templates, and operational runbooks to accelerate future tenant onboarding activities.
- Track onboarding progress, adoption metrics, service consumption trends, and migration outcomes while driving continuous improvements to the onboarding framework.

Skill Requirements

null

Must Have Skill

Apigee APIM,RESTful API,Qdrant,GCP AI & ML (CCAI/Vertex AI/GenAI),Model Context Protocol (MCP)

Good to Have Skill

Other Requirements

📌 Support Lead (India)
🏢 HCLTech
📍 India