Al Solution Architect (Enterprise Integration)
About the role
The AI Solution Architect (Enterprise Integration) role is focused on leading AI integration initiatives within complex enterprise environments. The position involves designing AI integration architectures that connect cloud AI platforms with legacy enterprise systems, leading strategies for enterprise API, microservices, and event-driven integrations, and validating third-party AI vendor solutions. The architect will also be responsible for building secure, scalable, and production-ready AI deployment architectures, ensuring compliance with enterprise security standards, performance optimization, and business continuity. Candidates should have significant experience in software architecture, AI and data technologies, and integrating enterprise systems, particularly in sectors such as banking, insurance, or telecommunications.
Must have
- Bachelor's Degree in IT, Computer Science, Engineering, or a related field (UGC recognized).
- 8+ years of experience in Software Architecture or Senior Engineering.
- 4+ years of hands-on experience in Al and Data-related technologies.
- Proven experience integrating enterprise systems within Banking, Insurance, or Telecommunications.
- Mandatory experience in Hybrid Cloud Architecture (Cloud & On-Premise Integration).
- Strong expertise in Java/Spring Boot, Python, REST/SOAP APIS, Kubernetes, Cloud Platforms, API Gateways, Kafka/RabbitMQ, and enterprise integration.
Technologies
- Event-Driven Architecture
- Java
- Kafka
- Kubernetes
- Microservices
- Python
- RabbitMQ
- SOAP
- Spring / Spring Boot
Highlights
Candidates are encouraged to send their CVs to apply. A bachelor's degree from a UGC recognized institution is required. The role requires experience in both cloud and on-premise integration (hybrid cloud architecture).
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