Jobs at dentsu

Build and maintain scalable AWS data platforms and ETL/ELT pipelines using SQL, Python, Spark, and AWS services. Develop data lakes, warehouses, ingestion workflows, transformations, and analytics-ready data models. Monitor pipeline performance, reliability, security, and data quality; troubleshoot issues and conduct root-cause analysis. Collaborate with architects, DevOps, QA, product teams, and business stakeholders while contributing to documentation, code reviews, and engineering best practices.

Develop and lead multi-market web solutions using Adobe Experience Manager and its integrations. Responsibilities include full software development lifecycle activities, backend development with Java, database work, REST API integration, customer interaction, solution analysis, performance optimization, logging, scalability, and maintainability. The role also involves mentoring and onboarding colleagues, contributing to large-scale web solutions, and working with Git, CI/CD, and Maven.

Provide production support for Salesforce Commerce Cloud, OMS, and related e-commerce systems. Investigate incidents, integration failures, transaction issues, and operational exceptions; analyze root causes; monitor order flows; coordinate incident resolution; and communicate status to stakeholders. Maintain documentation, SOPs, runbooks, and RCA records while identifying recurring risks and process improvements. The role requires independent judgment, strong technical analysis, and collaboration across engineering, product, business, client, and third-party teams.

Lead solution architecture and delivery across Salesforce Sales Cloud, Service Cloud, Data Cloud, and Agentforce. Design ingestion, identity resolution, Calculated Insights, segmentation and activations. Architect CPQ, case management, Omni-Channel, and Agentforce agents. Mentor engineers, produce SDDs and integration designs, present trade-offs to stakeholders, and govern data quality, reconciliation, and analytics integration with Power BI/Tableau. Support Marketing Cloud connector and deployment patterns where required.

Lead Adobe Workfront implementations: configure and optimize Workfront and Fusion, build workflows, integrate with Jira, Monday.com and AEM, gather requirements, drive process improvement and user adoption.

Lead implementation and configuration of Adobe Workfront solutions, build Fusion workflows, integrate Workfront with Jira/Monday.com/AEM, gather requirements, drive process improvement and user adoption.

Lead technical architecture and hands-on development for multi-agent and LLM orchestration systems. Set engineering standards, build reusable agent components, manage CI/CD and MLOps, evaluate LLM providers, mentor engineers, collaborate on cross-timezone architecture, and produce operational documentation for agentic AI deployments across multiple client implementations.

Lead a DGS India product team to define, ship, and drive adoption of AI-native automation products. Own portfolio strategy, business cases, experiment design, PRDs, backlog prioritization, delivery readiness, and product health metrics. Partner with engineering on technical tradeoffs, ensure governance/compliance, coordinate cross-functional dependencies, and develop direct-report Product Owners. Accountable for measurable financial impact, adoption, and lifecycle management from discovery through retirement.

The Braze Development Manager leads software engineering teams, providing technical guidance while overseeing implementation, design, and delivery of marketing automation solutions using Braze.

Lead design and delivery of enterprise-scale Salesforce solutions, specializing in Financial Services Cloud, Data Cloud and Agentforce. Define end-to-end architecture, run discovery and workshops, guide integrations, ensure scalability, security and governance, support pre-sales, mentor developers, and oversee implementation and code quality.

Lead design and implementation of scalable Braze solutions, build and configure campaigns, optimize data models and audience segmentation, integrate external data sources via APIs/FTP, perform SQL development and troubleshooting, conduct code reviews, mentor junior developers, and provide marketing automation best practices and stakeholder-facing technical guidance.

As a Senior Web Stack Engineer, you'll deliver high-quality frontend solutions, ensuring performance, accessibility, usability, and security across headless architectures while mentoring developers and driving process improvements.

Design, develop, and maintain SFCC B2C storefronts and custom SFRA cartridges. Build responsive, accessible frontends with TypeScript/React and Tailwind/SCSS/Handlebars, integrate REST/OCAPI/SCAPI, configure Page Designer and multi-site setups, write tests, perform code reviews, troubleshoot performance/security issues, mentor junior engineers, and contribute to frontend architecture and CI/CD tooling.

Lead architecture and engineering for multi-agent LLM systems: design orchestration, build reusable agent components, set CI/CD and deployment standards, evaluate LLM providers, mentor senior engineers, and produce operational runbooks and documentation for agentic AI deployments.

Lead Technical Architect drives end-to-end software development, ensures reusable stable code, mentors engineers, integrates cloud and modern architectures, leads design, reviews, testing, and delivery.

Lead front-end architecture and development for Salesforce Commerce Cloud using SFRA. Architect reusable components, customize ISML templates, optimize performance, ensure responsive and accessible UI, mentor engineers, enforce code quality, and collaborate cross-functionally to deliver scalable eCommerce solutions.

Lead GenAI engineer role to design, build, and deploy production-grade LLM-based, multimodal, and agentic systems. Responsibilities include model fine-tuning, retrieval and KG-augmented systems, API/microservice deployment, cloud/MLOps integration, monitoring, mentoring, and cross-functional collaboration to deliver scalable, safe, and cost-optimized AI solutions.

Design, build, and operate scalable MLOps frameworks on GCP. Automate deployment, CI/CD, IaC, model serving (Vertex AI Endpoints), monitoring, and lifecycle management for Python ML models. Ensure production reliability, scalability, security, and governance across environments.

Lead design and build of generative AI, multimodal, and agentic systems. Develop and fine-tune transformer models, retrieval/knowledge-graph augmented systems, and production APIs. Deploy and monitor ML services in cloud, collaborate cross-functionally, mentor engineers, and ensure safety, evaluation, and scalable MLOps practices.

Lead requirements gathering and analysis for SAP BTP and SAP ERP solutions, coordinate with stakeholders, designers, and developers, manage UAT, workshops, and Agile ceremonies, and ensure system integrations and custom enterprise applications meet business needs.