Enterprise Integration Architecture- AI

Crest'XO; Bengaluru; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

Crest'XO is seeking an AI Integration Architect to design scalable, secure, and production-ready architectures that fuse AI/GenAI capabilities with enterprise applications, data platforms, and business processes to deliver measurable value.

This role bridges Generative AI, Cloud, Enterprise Integration and Data Architecture, helping organizations move AI initiatives from experiments to enterprise-scale production with reliable APIs and event-driven patterns.

Qualifications

• Experience in solution/enterprise/integration architecture for scalable systems.
• Hands-on experience integrating AI/GenAI/LLMs with enterprise apps.
• Strong knowledge of Generative AI, AI/ML platforms, and API-led integration.
• Experience with SAP or non-SAP enterprise systems integration.
• Ability to take AI solutions from POC to production.

Skills

Solution Architecture

Enterprise Architecture

Integration Architecture

GenAI integration

Cloud platforms

API-led integration

Event-driven

Microservices

Data pipelines

SAP integrations

Job description

We are looking for an AI Integration Architect to design and deliver scalable, secure and production-ready architectures that seamlessly integrate AI/GenAI capabilities with enterprise applications, data platforms and business processes.

This is an exciting opportunity for an architect who can bridge the worlds of Generative AI, Cloud, Enterprise Integration and Data Architecture and help organizations move AI initiatives from experimentation to enterprise-scale production.

What We're Looking For

• Strong experience in Solution Architecture / Enterprise Architecture / Integration Architecture
• Hands-on experience integrating AI/GenAI/LLM capabilities with enterprise applications
• Strong understanding of:
  • Generative AI / LLMs
  • AI/ML platforms
  • API-led integration
  • Event-driven architecture
  • Microservices
  • Data pipelines and real-time data processing
• Experience with one or more cloud platforms:
• Exposure to AI platforms such as:
• Experience integrating with SAP and/or non-SAP enterprise systems
• Strong understanding of APIs, middleware, data integration and cloud-native architecture
• Ability to take AI solutions from POC → architecture → implementation → production