AI Enterprise SeniorTechnical Lead
Katowice, Poland12h ago
Free account needed to apply or save. It takes a minute, and we'll bring you right back to this job.
How well do you match this job?
Key details
- Salary
- PLN 416K–PLN 582K/yr
- Location
- Katowice, Poland
- Work style
- Onsite
- Level
- Senior
- Function
- other
- Focus area
- other
- Posted
- 12h ago
Skills
About the role
Who We Are
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.
The opportunity
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 Microsoft Azure, LLMs, agentic workflows, enterprise knowledge and integrations.
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.
What you’ll get to do
- Lead 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 AI/LLM capabilities and deterministic application logic.
- Design agent workflows, context management, tool usage and appropriate human-in-the-loop controls.
- Shape 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.
What you should have
- 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.