AI Enterprise SeniorTechnical Lead

We are looking for an AI Enterprise Technical Lead to join a high-profile enterprise AI project for a major global brand.

This is a high-impact technical leadership role combining ownership of enterprise AI delivery, client-facing discovery and technical workshops with strong architectural influence and a balance between technical leadership and hands-on engineering.

You will help shape and deliver a secure, enterprise-grade AI platform built around

A key part of the role is understanding

AI as part of a larger enterprise architecture. You will make pragmatic decisions about where LLMs and agents add value, where deterministic software is the better choice, how enterprise knowledge should be retrieved and how AI capabilities should integrate with existing platforms.

About VML Enterprise Solutions

WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on.

In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution.

Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets.

WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses.

VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience.

Responsibilities

• technical discovery and solution design, translating business workflows into scalable AI solutions.
• Shape architecture across
• AI agents, orchestration, RAG/retrieval, Azure services and enterprise integrations

Define clear boundaries between

• RAG and enterprise knowledge solutions, including retrieval and use of trusted sources.
• Design integrations between AI workflows, APIs and existing enterprise platforms.

Ensure appropriate approaches to

• security, identity and access, governance, observability and auditability
• Turn discovery outcomes into architecture, technical scope and an actionable implementation backlog.
• Lead engineers throughout delivery, providing hands-on guidance, code reviews and support with complex technical decisions.
• Establish effective approaches to
• AI evaluation, testing and continuous improvement

Requirements

• Microsoft Azure, LLMs, agentic workflows, enterprise knowledge and integrations
• AI/LLM capabilities and deterministic application logic
• Design agent workflows, context management, tool usage and appropriate human-in-the-loop controls.
• Strong commercial experience designing and delivering
• AI/GenAI solutions in enterprise environments
• Strong understanding of
• LLMs, agentic architectures, RAG and workflow orchestration
• Hands-on experience building AI solutions and integrating them with application services and APIs.
• Good practical knowledge of
• Microsoft Azure and Azure AI services
• Strong understanding of
• software architecture, API design and enterprise integration patterns
• Experience combining
• LLM-based capabilities with deterministic application logic
• Practical understanding of context engineering, retrieval, structured model outputs and AI evaluation.
• Understanding of
• security, identity and access, governance and human oversight in enterprise AI solutions.

Proven experience leading

• Experience providing technical leadership while remaining hands-on when needed
• Strong client-facing communication skills and the ability to explain complex technical decisions and trade-offs.
• Fluency in English.

Preferred

• Experience designing
• multi-agent or agentic workflow architectures
• Experience building enterprise
• RAG and knowledge retrieval solutions