Support Lead
Bengaluru · Staff/Principal
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HIGH
Our tracked job listings for HCLTech show strong recent activity.
First 72 hours
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Job description
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, 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.
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
Other Requirements
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