Intelligent Automation Development Lead

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 frameworks such as 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 TypeScript 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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