AI Enterprise Senior Technical Lead

VML Enterprise Solutions; Katowice; Vor Ort; PLN 276.000 - 386.000; Vollzeit

Zusammenfassung

WPP Enterprise Solutions is seeking an AI Enterprise Technical Lead to drive a high-profile enterprise AI project, combining ownership of delivery, client-facing discovery, and hands-on engineering.

Role focuses on architecture across AI agents, RAG, and Azure services, balancing leadership with practical engineering work and strong governance.”

Qualifikationen

• Proven leadership in technical discovery and solution design.
• Strong knowledge of LLMs and RAG architectures.
• Hands-on engineering experience with enterprise AI solutions.
• Experience with Microsoft Azure and enterprise integrations.

Aufgaben

• Lead technical discovery and translate business workflows into scalable AI solutions.
• Shape architecture across AI agents, orchestration, RAG/retrieval, Azure services and enterprise integrations.
• Define boundaries between AI/LLM capabilities and deterministic application logic.
• Lead engineers with hands‑on guidance, code reviews and complex decisions.
• Ensure security, identity and access, governance, observability and auditability.

Kenntnisse

AI architecture

RAG architecture

Azure services

Agent workflows

Security governance

Enterprise integration

LLMs

Hands-on coding

Technical leadership

Multi-agent systems

Tools

Azure

APIs

MLOps

Jobbeschreibung

WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where AI is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our experts work within a unified global operating unit across 40+ markets, delivering growth solutions tailored to the needs of our clients’ businesses.

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.

Pay: PLN 200 to 280 per hour

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.

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 technical discovery and solution design.

Experience providing technical leadership while remaining hands‑on when needed.

Preferred: Experience designing multi-agent or agentic workflow architectures.

Preferred: Experience building enterprise RAG and knowledge retrieval solutions.

Preferred: Experience with LLMOps/MLOps and systematic AI evaluation.

Preferred: Experience implementing AI guardrails or model routing.

Preferred: Experience with infrastructure as code and automated Azure provisioning.

Preferred: Relevant Microsoft Azure or AI certifications.