- 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.
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.