AI Tech Lead – Generative AI & Azure

AI Tech Lead – Generative AI & Azure

About the role

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.

What you’ll do

Lead and coordinate a cross-functional AI squad of up to 6 engineers, ensuring alignment on technical direction, priorities, and delivery timelines

Define and enforce technical standards, engineering best practices, and architecture guidelines across the squad

Design and oversee the development of scalable backend systems and APIs supporting AI-powered applications

Drive the design and implementation of RAG architectures and LLM-based solutions

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

Ensure AI solutions are designed with scalability, security, maintainability, and production readiness in mind

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

Support the resolution of complex technical issues and help remove engineering blockers

Evaluate new approaches, frameworks, and technologies within the Generative AI and LLM ecosystem

Translate emerging AI trends into practical and valuable initiatives for the squad and the business

Must Have

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

Strong experience with Generative AI and LLM-based applications

Hands-on experience designing and implementing RAG solutions

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

Ability to conduct code reviews and provide technical mentoring

Strong communication skills and experience collaborating with both technical and business stakeholders

Ability to balance hands-on engineering with technical leadership and ownership

High level of English

✨ Nice to Have

Experience with speech-to-text solutions

Experience with computer vision

Experience with Intelligent Document Processing (IDP)

Experience with advanced prompt engineering techniques

Knowledge of agentic AI architectures

Experience evaluating and improving LLM-based applications

Familiarity with AI security, governance, and responsible AI practices

Experience working in large-scale enterprise environments

Exposure to international and cross-functional AI programs

Hybrid model – 2 days onsite per week

Why join this project?

🤝 People first – work in a diverse, inclusive, and international environment

🚀 Lead the development of production-ready Generative AI solutions

🧠 Work on real-world use cases involving RAG, LLMs, and advanced AI capabilities

☁️ Gain strong exposure to the Microsoft Azure AI ecosystem

Take technical ownership of a cross-functional AI squad and help engineers grow

⚙️ Influence architecture, engineering standards, reliability, and best practices across AI projects

Join a strategic AI program where experimentation, ownership, scalability, and business impact are highly valued

😁 High team stability and collaborative culture

€1,200 per year training budget and continuous learning opportunities

Flexible compensation model

🩺 Private health insurance and benefits package

⚡ Flexible working hours and hybrid model

️ Wellhub: fitness, wellness, and mental health support

⚽ Football and paddle tennis teams sponsored by Capitole

🥳 Team buildings, global events, and strong tech communities

✨ Want to know more about us? Click here and discover all the details.

Curious about our culture? Check out what people are saying about us on Glassdoor.

We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we’d still love to hear from you.

Ready for the challenge? Apply now!

Empowering People, Unlocking Innovation.

Information Security Notice

The employee will have access to confidential information related to Capitole and the assigned project.

Compliance with internal security and information protection policies is mandatory.