Cloud and AI Engineering Lead

Job Role: Cloud and AI Engineering Lead Location: Bangalore

ABOUT UNILEVER

With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.

ABOUT GDT:

GDT is the global digital and technology engine of Unilever offering business services, technology, and enterprise solutions. GDT serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.

About Us:

Wild are on a mission to remove single-use plastic from the bathroom, armed with our refillable, natural and scent-sational deodorants, body wash, and lip balm – and we’re only just getting started. We launched in 2020 and as a high-growth company we’re already one of Europe’s fastest growing start-ups.

Role Summary Wild is moving from chat-based AI usage toward a portfolio of autonomous AI agents that automate real business workflows. The Lead Manager – AI Platform & Engineering owns the technical vision, the cloud platform, and the engineering function that will make this shift happen — designing and running a scalable, secure, and governed agent platform on Google Cloud Platform (GCP) and Google Agent Builder, grounded in Wild's Snowflake data estate. This is a hands-on, cloud-centric role, not a purely administrative one. You will own the GCP landing zone and platform operations, lead end-to-end solution design for Agentic use cases, and define the engineering standards, guardrails, and assurance practices the team works to. You will lead a small multidisciplinary team of Agentic AI developers, data engineers, and FinOps, translating Wild's business priorities — across a fast-growing sustainable personal care brand — into a prioritised agent roadmap, while ensuring everything built is production-grade, observable, cost-aware, and compliant from day one. As the technical voice in the team, you are also a bridge to stakeholders in security, privacy, and Unilever's wider Digital & Technology organisation. You balance speed of delivery with enterprise discipline — embedding AI assurance, data privacy, and responsible-AI controls into the platform so the team can ship value quickly and safely at scale.