{"id":372333,"url":"https://alion.io/job/dentsu-intelligent-automation-development-lead","title":"Intelligent Automation Development Lead","company":{"id":888,"name":"dentsu","domain":"dentsu.com","url":"https://alion.io/company/dentsu-polska","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":175,"ghost_share":0.006,"stale_share":0.697,"repost_share":0.051,"time_to_fill_p50_days":22,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"n8n","optional":false},{"name":"Nest.JS","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"AI Agents","optional":true},{"name":"Postman","optional":true},{"name":"Power Apps","optional":true},{"name":"Power Automate","optional":true},{"name":"Power BI","optional":true},{"name":"SoapUI","optional":true},{"name":"Tableau","optional":true}],"status":"closed","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-21T17:08:04Z","board_verified":false,"closed_at":"2026-10-21T17:08:04Z","days_open":62,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":62},"description":"Job Description:\nJob title: Enterprise Integration and Intelligent Automation Dev Lead\nExperience: 8-12 Years\nLocation: Bengaluru, Pun, Mumbai\nRole Purpose\nThe 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.\nKey Responsibilities\nIntegration Architecture, Technical Design, & Integration Workflow Development\nDesign and implement robust, scalable, and secure enterprise integration solutions and pipelines using multiple integration platforms and services\n\nLead tech design and development for integration workflows, orchestrating data and capabilities across multiple systems, using APIs, pre-built connectors, and custom connectors\nDevelop and manage API-led and event-driven integrations and automations across systems, applications, and platforms.\nDevelop and optimize data transformation pipelines and data integration workflows.\nLead and Build end-to-end system integrations, data workflows, and platform integration workflows independently.\n\nStrong 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\nTechnical Leadership\nLead and mentor a team of integration developers, workflow developers, and API developers, ensuring adherence to coding standards and best practices.\nTranslate business requirements into clear technical specifications and actionable development tasks.\nDrive solution design discussions and act as a technical SME for integration and automation initiatives.\nDrive secure workflow design and secure enterprise integration across systems, implementing best practices for authentication, token validation, authorization, and role-based access\nModern Integration & Intelligent Automation\n\nSolid foundation in integration workflows and workflow development, using Low-Code Workflow Builder tools including n8n (Node-mation), Azure Logic Apps, and others.\n\nStrong experience in n8n (Node-mation) workflows, including usage of pre-built connectors and custom connector development, and building AI-driven workflows within N8N\nLead 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\nEnable intelligent automation solutions by integrating AI and Gen-AI capabilities within integration workflows, including Azure OpenAI LLM models, Vision Models and Multi Modal models.\nProcess 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.\nMicro Services, GraphQL + Federated Graph, and API Engineering\nDevelop scalable micro services to enable Enterprise Integration using server-side Node.js frameworks such as NEST.js and Typescript code.\n\nIntegrate proprietary REST APIs, enterprise services, and third-party platforms all together, within a single integration / orchestration layer\n\nLeverage 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\nDesign and develop REST/GraphQL APIs and schemas.\nManage API lifecycle and governance, including performance, scalability, and versioning.\nWork with NoSQL databases such as MongoDB Atlas, and Azure Cosmos DB for high-performance data handling.\nBuild integrations leveraging message queues, topics, and messaging patterns (e.g., Kafka, and/or Azure Service Bus).\nCollaboration & Delivery\nCollaborate with Architecture, Engineering Leads, QA/QE, DevOps, and business teams to ensure seamless delivery.\nParticipate in Agile development methodologies, including sprint planning, reviews, and retrospectives.\nEnsure high-quality delivery through code reviews, testing, and documentation standards.\nGovernance, Quality & Risk Management\nEnforce best practices for integration design, logging, monitoring, and resiliency (retry/recovery mechanisms).\nIdentify delivery risks proactively and define mitigation strategies.\nEnsure compliance with enterprise security and data governance standards.\nPrimary Skills & Expertise (ALL are MUST-HAVE)\n\nIntelligent Workflow Automation (Critical) - n8n (Node-mation) / Node-based automation tools, Azure Logic Apps, Data Integration and Systems Integration.\n\nAPI orchestration & Enterprise Integration - Orchestration across REST APIs, GraphQL and Federated Graph, Bespoke API design & development\n\nMicroservices Development - Nest.JS, TypeScript, Node.js , Server-side JavaScript Dev\n\nAzure Cloud Services Expertise - Azure Cosmos DB, Azure Blob Storage, Service Bus\n\nMessaging Frameworks - Kafka, Message Queues, messaging patterns (queues, topics), etc.\n\nAI Integration - Azure OpenAI, AI models, and intelligent automation frameworks\n\nData Pipelines - Data workflows, transformations, and processing\nKnowledge of NoSQL databases (MongoDB Atlas)\nSecondary / Good-to-Have Skills\nExperience with Agentic AI Workflows and Agent integration patterns\nExperience with Agent Dev Frameworks for intelligent automation\nExperience with Snaplogic or any other iPaaS platforms\n\nExperience with Data Visualization toolsets (Power BI, Tableau, etc.)\nExposure to Azure Document Intelligence / Intelligent Document Processing / Document Automation workflows powered by AI\nExperience with Microsoft Power Platform including Power Automate, Power Apps, etc.\nAPI Testing tools such as Postman, SoapUI\nExperience & Qualifications\nStrong hands-on experience in enterprise integration and cloud-based integration workflow development\nProven experience leading integration or platform engineering teams\nDeep understanding of enterprise integration patterns, API-led architecture, and event-driven systems\nAbility to work independently, drive initiatives, and solve complex problems\nStrong communication and stakeholder management skills\nKey Role Dimensions\nEnterprise Integration Dev Lead\nLow-Code Workflow & Automation Lead\nIntelligent Automation (AI + Automation) Lead\nData Integration & Audience Processing Lead\nLocation:\nDGS India - 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