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

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





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

Private health insurance and benefits package

Adaptable 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

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.

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.

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