Cloud AI Platform Tech Lead – Azure & GenAI

Transition Technologies Psc — Poland · Posted ~5 hours ago

Lead Full-time

Skills

Azure GenAI LLMs RAG AI agents cloud architecture AI platform engineering security governance technical leadership Microsoft Azure

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Summary ✨ AI‑Generated

Lead the technical development of an enterprise-scale cloud AI platform supporting Generative AI, agentic systems, RAG, and AI-assisted engineering. You will define architecture and operational standards, implement advanced AI solutions, and collaborate with product, cloud, security, governance, and engineering stakeholders.

Highlights

High-impact technical leadership role shaping enterprise AI architecture, engineering standards, security, governance, and technology strategy. The position offers substantial influence over an enterprise-scale AI platform.

Description

Cloud AI Platform Tech Lead | Azure & GenAI Build the AI platform that will power enterprise-scale transformation We’re looking for an experienced Cloud AI Platform Tech Lead to join a strategic AI transformation program in one of Poland’s largest enterprise environments. This is not just another AI project. You’ll help design and scale an enterprise-grade AI platform that will enable teams across the organization to build and adopt Generative AI, Agentic AI, RAG solutions and AI-assisted software engineering at scale. You’ll have a real impact on architecture, engineering standards, security, governance and the technology strategy behind the platform. What you’ll do Lead the technical development of an enterprise AI platform.Define and evolve architecture, technology, security and operational standards.Design and implement solutions based on GenAI, LLMs, RAG and AI agents.Work closely with Product Owners, Architects, Cloud, Security, Governance and Engineering teams.Lead architecture reviews and drive technical alignment across teams.Mentor platform engineers and help establish strong engineering practices.Build and promote DevOps, MLOps, Observability and FinOps capabilities.Take AI initiatives from PoC to production.Enable the adoption of AI across software engineering and platform services. What we’re looking for Must have: 8+ years of IT experience.3+ years in a Tech Lead, Solution Architect or similar technical leadership role.Proven experience designing and building AI platforms in large-scale enterprise environments.Expert-level knowledge of Microsoft Azure.Hands-on experience with Azure AI Foundry and Azure AI Foundry Agent Service.Strong knowledge of Azure AI Search and experience with Azure Machine Learning.Experience with Azure API Management.Expert knowledge of Terraform / Infrastructure as Code.Strong expertise in AKS and container technologies.Experience establishing DevOps and MLOps operating models.Practical experience with LLMs, RAG and AI agents.Experience defining security, governance, observability and FinOps standards.Strong communication skills in English.Ability to work from Poland and join a hybrid model with regular presence in Warsaw. Nice to have Experience with: Google Vertex AIAWS BedrockMicrosoft Copilot StudioAgentic AI frameworks and patternsModel Context Protocol (MCP)Azure Content SafetyAI Governance frameworksDORA, GDPR and EU AI Act requirementsBanking, insurance or other financial services environmentsCertifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate or CKA are also welcome. What’s in it for you? A chance to shape an enterprise-wide AI transformation.Long-term work with real strategic and business impact.Cutting-edge projects across AI, GenAI, Agentic AI and cloud platform engineering.Collaboration with experienced architects, engineers and AI specialists.Influence over architecture, standards, tooling and platform strategy.Access to the latest Microsoft AI and Azure technologies.A hybrid setup combining remote work with meaningful onsite collaboration. #Hiring #AI #GenerativeAI #GenAI #AgenticAI #Azure #AzureAI #AIPlatform #TechLead #SolutionArchitect #Cloud #MLOps #DevOps #RAG #LLM #Kubernetes #AKS #Terraform