Перейти до вмісту
Подати заявку

Ця вакансія є на кількох порталах

WPP Enterprise Solutions

AI Enterprise Senior Technical Lead

WPP Enterprise Solutions Усі вакансії
Poznań
Діє до 3 гру 2026
1 день тому

Коротко

AI Enterprise Senior Technical Lead role at WPP Enterprise Solutions in Poznań, PL. Responsibilities include designing enterprise-grade AI platforms on Azure, leading technical discovery, and guiding engineers. Requires strong commercial experience with AI/GenAI solutions, LLMs, RAG, Azure AI services, and software architecture.

Стислий виклад підготував ШІ на основі тексту оголошення.

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.
<!--THE END-->
  • Shape architecture across AI agents, orchestration, RAG/retrieval, Azure services and enterprise integrations.
<!--THE END-->
  • Define clear boundaries between AI/LLM capabilities and deterministic application logic.
<!--THE END-->
  • Design agent workflows, context management, tool usage and appropriate human-in-the-loop controls.
<!--THE END-->
  • Shape RAG and enterprise knowledge solutions, including retrieval and use of trusted sources.
<!--THE END-->
  • Design integrations between AI workflows, APIs and existing enterprise platforms.
<!--THE END-->
  • Ensure appropriate approaches to security, identity and access, governance, observability and auditability.
<!--THE END-->
  • Turn discovery outcomes into architecture, technical scope and an actionable implementation backlog.
<!--THE END-->
  • Lead engineers throughout delivery, providing hands-on guidance, code reviews and support with complex technical decisions.
<!--THE END-->
  • 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.
<!--THE END-->
  • Strong understanding of LLMs, agentic architectures, RAG and workflow orchestration.
<!--THE END-->
  • Hands-on experience building AI solutions and integrating them with application services and APIs.
<!--THE END-->
  • Good practical knowledge of Microsoft Azure and Azure AI services.
<!--THE END-->
  • Strong understanding of software architecture, API design and enterprise integration patterns.
<!--THE END-->
  • Experience combining LLM-based capabilities with deterministic application logic.
<!--THE END-->
  • Practical understanding of context engineering, retrieval, structured model outputs and AI evaluation.
<!--THE END-->
  • Understanding of security, identity and access, governance and human oversight in enterprise AI solutions.
<!--THE END-->
  • Proven experience leading technical discovery and solution design.
<!--THE END-->
  • Experience providing technical leadership while remaining hands-on when needed.
<!--THE END-->
  • Strong client-facing communication skills and the ability to explain complex technical decisions and trade-offs.
<!--THE END-->
  • Fluency in English.

Bonus points if you have

  • Experience designing multi-agent or agentic workflow architectures.
<!--THE END-->
  • Experience building enterprise RAG and knowledge retrieval solutions.
<!--THE END-->
  • Experience with LLM

Ops/MLOps and systematic AI evaluation.

<!--THE END-->
  • Experience implementing AI guardrails or model routing.
<!--THE END-->
  • Experience with infrastructure as code and automated Azure provisioning.
<!--THE END-->
  • Relevant Microsoft Azure or AI certifications.

What we can offer you

We offer net hourly rate for B2B cooperation ranging from 220 - 280 PLN/ hr, dependent on your skills and experience.

Опубліковано 2026-11-03
Джерело