Intelligent Automation Development Lead

Job description

Job Description: Job title: Enterprise Integration and Intelligent Automation Dev Lead DCF Level : 35 Experience: 8-12 Years Role Purpose The Enterprise Integration and Intelligent Automation (EI / IA) Development Lead will be responsible for designing, developing, and leading scalable integration solutions and AI-powered automation workflows, across enterprise systems, marketing platforms, consumer data platforms, digital ecosystems, third-party partners, and AI model providers. This role combines deep technical expertise in Enterprise Integration Workflows and scaled API-driven systems Integration, with leadership in modern integration patterns, low-code workflow app dev platforms, iPaaS systems (integration platform-as-a-service solutions), data transformation and data integration workflows, and AI-powered intelligent automation. Key Responsibilities Integration Architecture, Technical Design, & Integration Workflow Development • Design and implement robust, scalable, and secure enterprise integration solutions and pipelines using multiple integration platforms and services • Lead tech design and development for integration workflows, orchestrating data and capabilities across multiple systems, using APIs, pre-built connectors, and custom connectors • Develop and manage API-led and event-driven integrations and automations across systems, applications, and platforms. • Develop and optimize data transformation pipelines and data integration workflows. • Lead and Build end-to-end system integrations, data workflows, and platform integration workflows independently. • Strong experience in designing and building workflows for very high volumes and scaled usage, also applying principles and best practices of multi-tenancy and client data separation Technical Leadership • Lead and mentor a team of integration developers, workflow developers, and API developers, ensuring adherence to coding standards and best practices. • Translate business requirements into clear technical specifications and actionable development tasks . • Drive solution design discussions and act as a technical SME for integration and automation initiatives. • Drive secure workflow design and secure enterprise integration across systems, implementing best practices for authentication, token validation, authorization, and role-based access Modern Integration & Intelligent Automation • Solid foundation in integration workflows and workflow development, using Low-Code Workflow Builder tools including n8n (Node-mation), Azure Logic Apps, and others. • Strong experience in n8n (Node-mation) workflows, including usage of pre-built connectors and custom connector development, and building AI-driven workflows within N8N • Lead development across system and data integrations using low-code/no-code workflows, enhanced with custom connectors for deep bespoke integration into proprietary enterprise platforms and services • Enable intelligent automation solutions by integrating AI and Gen-AI capabilities within integration workflows , including Azure OpenAI LLM models, Vision Models and Multi Modal models . • Process and Automate Consumer and Audience Data , using AI services and AI models, unlocking the value of core data assets for use within AI-driven workflows to drive use cases such as Audience Intelligence, Audience Personalization, etc. Micro Services, GraphQL + Federated Graph, and API Engineering • Develop scalable micro services to enable Enterprise Integration using server-side Node.js frameworks such as NEST.js and Typescript code. • Integrate proprietary REST APIs, enterprise services, and third-party platforms all together, within a single integration / orchestration layer • Leverage GraphQL within a Federated Graph pattern, deploy custom Sub-Graphs within the Fed Graph, and route queries/mutations through the Router across the various Sub-Graphs • Design and develop REST/GraphQL APIs and schemas . • Manage API lifecycle and governance , including performance, scalability, and versioning. • Work with NoSQL databases such as MongoDB Atlas, and Azure Cosmos DB for high-performance data handling. • Build integrations leveraging message queues, topics, and messaging patterns (e.g., Kafka, and/or Azure Service Bus). Collaboration & Delivery • Collaborate with Architecture, Engineering Leads, QA/QE, DevOps, and business teams to ensure seamless delivery. • Participate in Agile development methodologies , including sprint planning, reviews, and retrospectives. • Ensure high-quality delivery through code reviews, testing, and documentation standards . Governance, Quality & Risk Management • Enforce best practices for integration design, logging, monitoring, and resiliency (retry/recovery mechanisms) . • Identify delivery risks proactively and define mitigation strategies. • Ensure compliance with enterprise security and data governance standards. Primary Skills & Expertise (ALL are MUST-HAVE) • Intelligent Workflow Automation (Critical) – n8n (Node-mation) / Node-based automation tools, Azure Logic Apps, Data Integration and Systems Integration. • API orchestration & Enterprise Integration – Orchestration across REST APIs, GraphQL and Federated Graph, Bespoke API design & development • Microservices Development – Nest.JS, TypeScript, Node.js , Server-side JavaScript Dev • Azure Cloud Services Expertise – Azure Cosmos DB, Azure Blob Storage, Service Bus • Messaging Frameworks – Kafka, Message Queues, messaging patterns (queues, topics), etc. • AI Integration – Azure OpenAI, AI models, and intelligent automation frameworks • Data Pipelines – Data workflows, transformations, and processing • Knowledge of NoSQL databases (MongoDB Atlas) Secondary / Good-to-Have Skills • Experience with Agentic AI Workflows and Agent integration patterns • Experience with Agent Dev Frameworks for intelligent automation • Experience with Snaplogic or any other iPaaS platforms • Experience with Data Visualization toolsets (Power BI, Tableau, etc.) • Exposure to Azure Document Intelligence / Intelligent Document Processing / Document Automation workflows powered by AI • Experience with Microsoft Power Platform including Power Automate, Power Apps, etc. • API Testing tools such as Postman, SoapUI Experience & Qualifications • Strong hands-on experience in enterprise integration and cloud-based integration workflow development • Proven experience leading integration or platform engineering teams • Deep understanding of enterprise integration patterns, API-led architecture, and event-driven systems • Ability to work independently, drive initiatives, and solve complex problems • Strong communication and stakeholder management skills Key Role Dimensions • Enterprise Integration Dev Lead • Low-Code Workflow & Automation Lead • Intelligent Automation (AI + Automation) Lead • Data Integration & Audience Processing Lead Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent