Descripción de la oferta
AI Tech Lead – Generative AI & Azure
We are looking for an AI Tech Lead to join a strategic AI program within a large international environment.
In this role, you will combine hands-on technical expertise with technical leadership , leading a cross-functional AI squad of up to 6 engineers and helping shape the architecture, engineering standards, and delivery of production-ready AI solutions.
The main focus will be on Generative AI, RAG, LLM-powered applications, scalable backend systems, and cloud-native AI solutions on Microsoft Azure .
You will work closely with Product Owners, Data Scientists, frontend developers, business teams, and other technical stakeholders to turn business needs into robust, scalable, and reliable AI products.
This is a great opportunity for someone who enjoys being close to the technology while also acting as a technical reference point for the team , driving engineering quality, mentoring others, and taking ownership of architectural decisions.
Design and oversee the development of scalable backend systems and APIs supporting AI-powered applications
Architect and validate cloud-based AI solutions using Microsoft Azure
Work with Azure services such as Azure OpenAI, Azure Functions, App Services, Cosmos DB, and Azure Key Vault
Conduct code reviews , provide technical mentoring, and support the upskilling of squad members
Act as the technical interface between the engineering squad and stakeholders including Product Owners, Data Scientists, frontend developers, and business teams
Define standards around performance, reliability, observability, monitoring, and high availability
Evaluate new approaches, frameworks, and technologies within the Generative AI and LLM ecosystem
Strong experience in Software Engineering / AI Engineering , ideally in senior or technical leadership roles
Previous experience acting as a Tech Lead, Lead Engineer, or technical reference point within an engineering team
Experience leading, mentoring, or technically coordinating software or AI engineers
Hands-on experience designing and delivering end-to-end AI solutions in cloud environments
Experience designing backend systems and scalable APIs
Strong understanding of software architecture and engineering best practices
Experience working with Microsoft Azure
Familiarity with services such as Azure OpenAI, Azure Functions, App Services, Cosmos DB, and/or Azure Key Vault
Experience with production-grade engineering concepts such as observability, monitoring, reliability, performance, and high availability
High level of English
✨ Hybrid model – 2 days onsite per week
Why join this project?
Gain strong exposure to the Microsoft Azure AI ecosystem
Influence architecture, engineering standards, reliability, and best practices across AI projects
1,200 per year training budget and continuous learning opportunities
Private health insurance and benefits package
⚡ Flexible working hours and hybrid model
️ Team buildings, global events, and strong tech communities
Empowering People, Unlocking Innovation.
Information Security Notice
The employee will have access to confidential information related to Capitole and the assigned project.
