Jobs at Dentsu Creative

Lead Technical Architect responsible for full software development lifecycle, designing reusable, stable components, mentoring engineers, driving cloud-based (Azure) microservices, ensuring quality (TDD/BDD, unit tests), participating in estimates, code reviews, CI/CD and integrating modern technologies like Kafka and containerization.

The Senior Principal Solution Architect will design solution architectures, oversee other architects, and ensure compliance with company standards while meeting business requirements.

Lead QA activities including test case development/execution, defect logging and root-cause analysis, automation framework development (functional, regression, integration, API), performance/stability testing, coordination with product and engineering, and QA documentation and reporting to stakeholders.

Lead business analysis for SAP BTP and SAP ERP initiatives, gather and document requirements, coordinate with stakeholders, designers, and development teams, validate solutions via UAT, manage requirements in JIRA/Confluence, and support integrations and custom enterprise application delivery.

Lead ML Engineer responsible for end-to-end software development, ensuring code quality, reusability, and stability. Owns delivery of complex features, identifies and resolves security/usability issues, mentors engineers, integrates new technologies, and supports release processes and knowledge sharing.

Design, build, and deploy generative AI and multimodal systems including agents, retrieval and KG-augmented solutions. Implement model fine-tuning, evaluation, and guardrails; create scalable APIs/microservices; deploy and monitor AI systems on cloud platforms; collaborate cross-functionally and mentor junior engineers.

Lead architecture and implementation of Adobe Workfront and Fusion solutions: run discovery workshops, design target-state architecture, define integration strategy (APIs/automation), provide technical leadership, establish governance and best practices, support presales, and align solutions to business KPIs across enterprise platforms.

Lead development of production-grade generative AI systems: design and deploy LLM-based, multimodal, and agentic applications; build retrieval and KG-augmented pipelines; implement fine-tuning and alignment (LoRA/QLoRA, RLHF/RLAIF); deploy scalable APIs and MLOps; collaborate cross-functionally and mentor junior engineers.

Design, build, and operate scalable MLOps frameworks on GCP. Automate deployment, CI/CD, IaC, model versioning, monitoring, and lifecycle management for Python ML models using Vertex AI, GKE, Cloud Run, and related services to ensure reliable production ML services.

Build and maintain scalable Azure cloud data platforms and ETL/ELT pipelines using Databricks, Synapse, ADF, ADLS. Develop SQL and Python/PySpark transformations, monitor pipeline health, troubleshoot failures, and collaborate with architects, QA, DevOps, and business stakeholders.

Lead development of production-grade generative AI and multimodal systems: design agentic pipelines, fine-tune LLMs, build retrieval and KG-augmented solutions, deploy scalable model APIs on cloud, and mentor engineers while partnering with product and CX teams.

The Tech Lead will oversee integration and automation projects, convert functional requirements into technical specifications, and guide the development team in delivering solutions on time.

Design and define technical architecture, guide development teams on implementation, ensure scalability, performance, security, and alignment with business requirements. Collaborate with stakeholders and provide technical leadership across projects.

Lead the design and implementation of scalable AI systems, providing technical guidance and solving complex problems, ensuring systems' robustness and efficiency.

Senior QA Analyst responsible for building and maintaining automated UI/API/E2E tests, performance testing (k6), observability pipelines, and production-like test environments. Collaborates with designers, developers, and architects to manage defects, advise release decisions, and mentor team members while integrating tests into CI/CD pipelines.

Lead cross-functional project teams to deliver scope, schedule, budget, and quality objectives. Manage governance, business cases, benefits realization, resource allocation, schedules, dependencies, risks, issues, stakeholder communication, and project controls throughout the full project lifecycle.

The Senior Quant Research Analyst acts as a primary research advisor, leading client engagements, shaping research design, providing strategic insights, and mentoring teams while ensuring data integrity and impactful outcomes.

Technical Lead responsible for architecting and delivering Adobe Experience Platform and Adobe Journey Optimizer solutions. Own data ingestion, XDM modeling, identity resolution, audience segmentation, journey orchestration, activations, governance, and integrations. Lead engineering team, enforce best practices, manage sandboxes and deployments, ensure data privacy compliance, and drive platform roadmap and continuous improvements.

Lead testing and develop automated test solutions using tools like Cypress, Playwright, Appium and Cucumber. Architect automation frameworks, plan and execute tests, perform manual validation as needed, write test reports, support UATs, communicate with customers, and mentor team members.

Lead end-to-end delivery of Qualtrics Engage programs as SPOC, managing scope, schedule, budget, risks, RAIDD, governance, resources, change control, QA/UAT, and transition to managed services while aligning solutions to client CX/EX goals.