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Engineering lead (AI COE)

WPP
CompanyWPP
CategoryEngineering
LocationChennai
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted17 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
WPP is the trusted growth partner for the world’s leading brands.  We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.    We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.   Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.    For more information, visit WPP.com.   Why we're hiring: You will play a crucial role in solution delivery and day-to-day technology management of the Global Cloud Apps and AI program. Reporting to the AI CoE Lead, you will lead the architecture, standards, and advanced development requirements for our global enterprise AI portfolio. Alongside CoE Leadership, you will guide a crew of 6-8 engineers to ensure the release of high-quality products on time and within budget. Our team is chartered to develop and deliver custom AI products and enhance global cloud apps products or AI projects delivered by other delivery teams from around WPP. Are you a visionary technical leader with a deep mastery of the Microsoft Power Platform and Agent ecosystem and a passion for engineering excellence? We are looking for an Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global agent framework ensures a foundation of robust, scalable, and maintainable components. You will combine your extensive experience from the D365/Dataverse era with modern ALM practices to keep our global operations at the cutting edge of AI and automation. What you'll be doing: Architectural Governance: Define and maintain global architecture standards, design patterns, and best practices for Microsoft cloud, AI and Power Platform solutions across the enterprise. Technical Leadership: Lead and mentor a crew of 6-10 developers, providing hands-on guidance, code/solution reviews, and technical oversight to ensure high-quality product delivery. Advanced Development: Handle complex development requirements and "research spikes" to evaluate new features, tools, or frameworks (e.g., Microsoft Agent Framework (Python), Databricks Genie, WASP/React). ALM Strategy: Own and optimize the M365 Copilot and Power Platform Application Lifecycle Management (ALM) process using Power Pipelines, PAC CLI, and code-first DevOps practices. Solution Design: Design efficient, high-performance Cloud Flows and applications utilizing deep expertise in REST API integration, JSON manipulation, and XPath. Agile Delivery: Act as a lead practitioner in a Kanban environment, ensuring development flow is optimized and technical debt is managed effectively. Dataverse Excellence: Oversee the integrity of Dataverse environments, leveraging experience with the Dataverse Web API and Plugins to build sophisticated business logic. Stakeholder Collaboration: Partner with AAI Leadership to align technical roadmaps with business objectives, ensuring products are delivered on budget and meet global requirements. Security & Compliance: Ensure all automation solutions adhere to strict security policies, data governance standards, and environment-level DLP policies. Support Integration: Work closely with the AOC support teams to ensure that new products are architected for "hand-over" success, including comprehensive documentation and observability
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Engineering lead (AI COE) — WPP · Job Opportunities API