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Capgemini

AI Integration Solution Architect

Capgemini

Location
Onsite (Mumbai, Maharashtra)
Employment
Full-time
Level
Senior Level
Posted 6 days ago

About the Role

Capgemini is seeking an AI Integration Architect to design scalable, secure, and enterprise-grade AI integrations across business applications and cloud environments. The role focuses on enabling business transformation through the integration of AI/GenAI capabilities, LLMs, and enterprise systems.

Skills

AI Integration Enterprise Architecture LLM Integration RAG AI Agents API Management Cloud Architecture Data Pipelines GenAI SAP Integration Suite Azure Integration Services Microservices DevOps Event-Driven Architecture Solution Governance Stakeholder Management

Full job details

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