AI Integration Solution Architect
# AI Integration Solution Architect **Capgemini** · Mumbai, Maharashtra · `On-site` 🕒 **Статус:** *Опубликовано: 11 дней назад* · *Источник: Indeed* --- ### About the Role Job Description AI Integration Architect Location: Mumbai / Bangalore / Pune / Hyderabad Grade: E1/E2 The Opportunity We are seeking an AI Integration Architect to design and deliver scalable, secure, and enterprise-grade AI integrations across business applications, data platforms, and cloud environments. The role focuses on integrating AI/GenAI capabilities, LLMs, APIs, and enterprise systems to enable business transformation. Key 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 supporting GenAI, RAG, AI Agents, and analytics use cases. Drive 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 to deliver AI-led transformation initiatives. Mandatory Skills AI & GenAI: LLM Integration, RAG, AI Agents, Prompt Orchestration, Vector Databases, AI APIs, Model Serving Integration Technologies: API Management, REST, GraphQL, Kafka, Event-Driven Architecture, MuleSoft, Boomi, Azure Integration Services, SAP Integration Suite Cloud & Data: Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, ETL/ELT, Data Pipelines Enterprise Applications: SAP S/4HANA, ECC, SuccessFactors, Ariba, Salesforce, ServiceNow, Oracle, Microsoft Dynamics Architecture & Security: Enterprise Architecture, Microservices, DevOps, CI/CD, OAuth, JWT, SAML, IAM Preferred Skills SAP AI Core | SAP Joule | Azure OpenAI | OpenAI | Vertex AI | LangChain | Semantic Kernel | Kubernetes | Docker Qualifications Bachelor’s or Master’s degree in Engineering, Computer Science, IT, or related field. Relevant certifications in Cloud, AI, Integration, or Enterprise Architecture preferred. Experience & Grade Fitment 15–18+ years of overall IT experience. 8+ years in enterprise integration, solution architecture, and cloud-based platforms. Proven track record of delivering AI/GenAI integration programs at scale. Strong expertise in API ecosystems, enterprise data platforms, and cloud-native architectures. Experience in stakeholder management, solution governance, pre-sales, and delivery leadership. Preferred Industry Experience Manufacturing | Consumer Goods | Energy & Utilities | Retail | Automotive | Life Sciences | Banking & Financial Services | Telecommunications Primary Skills AI Integration | Enterprise Architecture | APIs | Event-Driven Architecture | Cloud Integration Secondary Skills GenAI | SAP Integration Suite | Azure OpenAI | Data Platforms | Microservices | DevOps
Наблюдалась 2026-09-15, впервые 2026-09-04, найдена на 2 площадках, источник — Indeed.