- Deliver client-ready AI solutions : Design, prototype, and deploy at least two high-impact AI/ML models (e.g., marketing portfolio optimisation, audience segmentation, or content personalisation) that deliver measurable business outcomes.

- Build scalable RAG systems : Architect and launch a Retrieval-Augmented Generation platform that enables global teams to intelligently query and apply decades of project data, increasing knowledge accessibility and efficiency by at least 30%.

- Break down data silos : Collaborate with data teams to unify fragmented, real-world datasets and establish a scalable platform that enables cross-agency AI workflows within the first year.

- Productize internal AI tools : Enhance and scale the AI-assisted Input Brief initiative into a network-wide capability with at least 50% agency adoption by year one.

- Establish secure, high-performance AI infrastructure : Develop cloud-based, version-controlled AI pipelines that ensure model scalability, monitoring, and compliance with global data privacy standards.

- Drive innovation and influence : Partner with global leadership to translate business challenges into AI-powered solutions, while introducing at least two innovations from emerging AI/ML research to the organization.

Desired Qualifications :

- Proven track record (8+ years in software engineering/data science; 3+ years in applied AI/ML) of designing and deploying production-ready AI solutions that deliver measurable impact.

- Demonstrated hands-on experience building modern Retrieval-Augmented Generation (RAG) systems with frameworks such as LangChain or LlamaIndex, and vector databases such as Pinecone or Chroma.

- Advanced proficiency in Python and core AI/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face). Strong grounding in NLP and unstructured text data.

- Experience with at least one major cloud platform (AWS, GCP, Azure) for AI deployment.

- Comfort with ambiguity and fragmented data-adept at turning messy inputs into structured, actionable insights.

- Ability to design and manage complex AI workflows, including meta-agents, API integrations, and large-scale data transformations.

- Skilled at communicating complex technical concepts clearly to non-technical stakeholders.

- Experience with MLOps principles and tools (MLflow, Kubeflow) is a plus.

- Prior experience in marketing, advertising, or consulting environments is advantageous but not required.

What We Offer :

- Opportunity to be a founding member of a high-visibility AI team.

- Direct impact on a global portfolio of iconic brands.

- A collaborative, innovative culture with room for experimentation and growth.