5 days ago
Mumbai, IndiaStaff+
Responsibilities
- Define AI integration architecture, standards, and reusable frameworks.
- Design API-led, event-driven, and data-driven integration solutions.
- Integrate AI capabilities with SAP, ERP, CRM, SCM, Salesforce, ServiceNow, Oracle, and Microsoft platforms.
- Build AI-ready data pipelines for GenAI, RAG, AI agent, and analytics use cases.
- Lead end-to-end solution delivery, including design, prototyping, deployment, and governance.
- Ensure scalability, security, compliance, observability, and operational excellence.
- Collaborate with business leaders, architects, engineers, and data teams on AI-led transformation initiatives.
Requirements
- Bachelor’s or Master’s degree in Engineering, Computer Science, IT, or a related field.
- 15–18+ years of overall IT experience.
- 8+ years of experience in enterprise integration, solution architecture, and cloud-based platforms.
- Proven delivery of AI/GenAI integration programs at scale.
- Strong expertise in API ecosystems, enterprise data platforms, and cloud-native architectures.
- Experience with stakeholder management, solution governance, pre-sales, and delivery leadership.
- Relevant certifications in Cloud, AI, Integration, or Enterprise Architecture are preferred.
- Preferred industry experience includes manufacturing, consumer goods, energy and utilities, retail, automotive, life sciences, banking and financial services, and telecommunications.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.