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AI Integration Solution Architect

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 7 days ago

No clicks

**AI Integration Solution Architect** designs and delivers scalable AI integrations across enterprise applications, data platforms, and clouds. Key responsibilities include defining AI integration architecture, designing API-led and event-driven solutions, integrating AI with core enterprise systems like SAP, Salesforce, and Microsoft platforms, and building AI-ready data pipelines. Mandatory skills span AI/GenAI, integration technologies (API management, MuleSoft, Boomi), cloud and data platforms (Azure, AWS, Databricks), and enterprise applications. Seeking 15+ years of IT experience with 8+ years in enterprise integration and solution architecture, proven AI/GenAI integration track record, and strong stakeholder management skills.

Compensation
Not specified

Currency: Not specified

City
Mumbai, Bengaluru
Country
India

Full Job Description

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

  • Bachelors or Masters degree in Engineering, Computer Science, IT, or related field.
  • Relevant certifications in Cloud, AI, Integration, or Enterprise Architecture preferred.

Experience & Grade Fitment

  • 1518+ 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

AI Integration Solution Architect

Compensation

Not specified

City: Mumbai, Bengaluru

Country: India

Capgemini logo
Consultancies

7 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**AI Integration Solution Architect** designs and delivers scalable AI integrations across enterprise applications, data platforms, and clouds. Key responsibilities include defining AI integration architecture, designing API-led and event-driven solutions, integrating AI with core enterprise systems like SAP, Salesforce, and Microsoft platforms, and building AI-ready data pipelines. Mandatory skills span AI/GenAI, integration technologies (API management, MuleSoft, Boomi), cloud and data platforms (Azure, AWS, Databricks), and enterprise applications. Seeking 15+ years of IT experience with 8+ years in enterprise integration and solution architecture, proven AI/GenAI integration track record, and strong stakeholder management skills.

Full Job Description

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

  • Bachelors or Masters degree in Engineering, Computer Science, IT, or related field.
  • Relevant certifications in Cloud, AI, Integration, or Enterprise Architecture preferred.

Experience & Grade Fitment

  • 1518+ 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