AI Enterprise Senior Technical Lead

200 - 280 PLN/ godz./ godz.B2BB2B (netto)

SeniorOn-site·PoznańFull-time·B2B

#471623·Dodano 5 dni temu·2

Źródło: VML/WPP Enterprise Solutions

Aplikuj teraz

Tech Stack / Keywords

Microsoft AzureAzure AILLMsRAGAPIsagentic workflowsMLOpsinfrastructure as code

Podsumowanie oferty

Lead delivery of a secure, enterprise-grade AI platform for a major global brand, combining technical leadership with hands-on engineering. The platform is built around Microsoft Azure, LLMs, agentic workflows, enterprise knowledge and integrations.

Wymagania

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.

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.

Obowiązki

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 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, 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 approaches to AI evaluation, testing and continuous improvement.

Inne informacje

Be available until 18:00 PL to collaborate with the UK project team.

VML/WPP Enterprise Solutions

5 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz