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, integral 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.

📌 AI Tech Lead – Generative AI & Azure (Barcelona)
🏢 Capitole
📍 Barcelona