Enterprise AI Platform Lead (Azure & LLMs)

Wundermanthompson; Katowice; On-site; PLN 276,000 - 386,000; Full time

Job summary

VML is seeking an AI Enterprise Technical Lead to guide a high-profile enterprise AI project for a global brand. You will own delivery, run client-facing workshops and shape architecture around LLMs, agents, and enterprise knowledge against Azure services.

You’ll balance hands-on engineering with architectural influence while ensuring security, governance, and observability across the platform, collaborating with the UK team and stakeholders.

Qualifications

• 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.
• Strong client-facing communication skills and the ability to explain complex technical decisions and trade-offs.
• Fluency in English.
• Availability until 18:00 PL for UK project team collaboration

Responsibilities

• 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.

Skills

AI/GenAI solutions

LLMs

Agentic architectures

Workflow orchestration

Azure AI services

API integration

Security and governance

Leadership and discovery

Client-facing communication

English fluency

Tools

Azure services

Job description

VML is seeking an AI Enterprise Technical Lead to guide a high-profile enterprise AI project for a global brand. You will own delivery, run client-facing workshops and shape architecture around LLMs, agents, and enterprise knowledge against Azure services.

You’ll balance hands-on engineering with architectural influence while ensuring security, governance, and observability across the platform, collaborating with the UK team and stakeholders.