AI Enterprise Senior Technical Lead

The role

You will lead technical discovery and solution design for a high-profile enterprise AI project. You will shape architecture for AI agents, RAG, and Azure services while providing hands-on engineering and technical leadership.

What you will do

• Lead technical discovery and solution design
• Shape architecture across AI agents, orchestration, RAG, Azure services and enterprise integrations
• Define boundaries between AI/LLM capabilities and deterministic application logic
• Design agent workflows, context management, tool usage and human-in-the-loop controls
• Shape RAG and enterprise knowledge solutions
• Design integrations between AI workflows, APIs and existing enterprise platforms
• Ensure approaches to security, identity, access, governance, observability and auditability
• Turn discovery outcomes into architecture, technical scope and an actionable implementation backlog
• Lead engineers through delivery with hands-on guidance, code reviews and support
• Establish approaches to AI evaluation, testing and continuous improvement

Required qualifications

• Commercial experience designing and delivering AI/GenAI solutions in enterprise environments
• Understanding of LLMs, agentic architectures, RAG and workflow orchestration
• Hands-on experience building AI solutions and integrating them with application services and APIs
• Practical knowledge of Microsoft Azure and Azure AI services
• 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 technical discovery and solution design
• Experience providing technical leadership while remaining hands-on when needed
• Strong client-facing communication skills
• Fluency in English

Nice to have

• Experience designing multi-agent or agentic workflow architectures
• Experience building enterprise RAG and knowledge retrieval solutions
• Experience with LLMOps/MLOps and systematic AI evaluation
• Experience implementing AI guardrails or model routing
• Experience with infrastructure as code and automated Azure provisioning
• Relevant Microsoft Azure or AI certifications

Benefits

• Opportunity to work with exciting brands
• Career development and skill growth

Before you apply

• Selection process will be conducted in English
• Send CV in English

About the company

WPP Enterprise Solutions designs, builds, and operates growth systems for competitive businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience.