Enterprise Integration & Intelligent Automation Development Lead

Job Description:

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

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