We are looking for an

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AI Tech Lead

to join an international technology environment and contribute to the development of innovative, enterprise-level AI solutions.

This is a senior technical leadership role combining

hands-on AI engineering, solution architecture and squad leadership . You will lead a cross-functional team of up to 6 engineers, define the technical direction of AI initiatives and oversee the delivery of scalable, production-ready solutions on

Microsoft Azure .

The role has a strong focus on

Generative AI and RAG architectures , with exposure to technologies such as

LLMs, speech-to-text, computer vision and Intelligent Document Processing (IDP) .

The project
You will join an international AI program focused on designing, developing and deploying advanced AI solutions in a Microsoft cloud environment.

Working closely with Product Owners, Data Scientists, frontend developers and business teams, you will act as the

technical reference for the AI squad , translating business needs into robust architectures and ensuring engineering quality throughout the entire solution lifecycle.

You will also help shape technical standards, identify opportunities to leverage emerging Generative AI technologies and support the continuous development of the engineering team.

Responsibilities
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

for AI solutions.
Design and oversee the development of

scalable backend systems and APIs

supporting AI applications on Azure.
Drive the design and implementation of

RAG (Retrieval-Augmented Generation) architectures

and Generative AI solutions.
Lead the integration of advanced AI capabilities, including

LLMs, speech-to-text,



computer vision and Intelligent Document Processing (IDP) .
Architect and validate cloud-native AI solutions using

Microsoft Azure

services.
Work with technologies such as

Azure Functions, App Services, Cosmos DB, Azure Key Vault and Azure OpenAI .
Conduct

code reviews

and ensure high standards of software quality, maintainability and scalability.
Mentor engineers and support the technical

upskilling and development of squad members .
Act as the technical interface between the AI squad and

Product Owners, Data Scientists, frontend developers and business stakeholders .
Define standards for

monitoring, reliability, observability and high availability

of production AI solutions.
Stay up to date with developments in

Generative AI, LLMs, RAG and prompt engineering , translating relevant innovations into actionable initiatives for the squad.

Requirements
Strong experience leading

AI engineering teams or technical squads

and delivering end-to-end AI solutions.
Proven experience designing and deploying

AI solutions in cloud environments .
Strong knowledge of

Generative AI and RAG architectures .
Hands-on experience working with

LLMs

and integrating them into production applications.
Strong backend engineering experience, including the design of

scalable APIs and services .
Solid experience with

Microsoft Azure

and cloud-native architectures.
Experience with services such as

Azure Functions, App Services, Cosmos DB, Azure Key Vault and Azure OpenAI .
Strong understanding of

software architecture, engineering best practices and code quality standards .
Experience conducting

code reviews, technical mentoring and engineering guidance .




Knowledge of

monitoring, observability, reliability and high-availability principles .
Ability to translate business requirements into

technical solutions and architecture decisions .
Strong communication skills and the ability to collaborate effectively with both technical and business stakeholders.
Ability to combine

technical leadership with a hands-on engineering mindset .

Nice to have
Experience with

speech-to-text technologies .
Knowledge of

computer vision

solutions.
Experience with

Intelligent Document Processing (IDP) .
Strong knowledge of

prompt engineering

and LLM optimization techniques.
Experience evaluating and integrating emerging

Generative AI technologies and frameworks .
Experience working in international, cross-functional and collaborative environments.
A proactive mindset with the ability to identify technical improvements and drive innovation within an engineering squad.

Technical environment

Microsoft Azure
Generative AI | RAG | LLMs | Azure OpenAI

Azure Functions | App Services | Cosmos DB | Azure Key Vault
Speech-to-Text | Computer Vision | IDP

Work model
Barcelona

Business travel:

No

What we offer
Versátil working hours.
A hybrid working model that supports a healthy work-life balance.
Competitive salary and a flexible compensation plan.
Private medical insurance.
An annual budget for training and professional development.
Language courses.
Opportunities to participate in technology communities and industry events.
Ongoing professional support and career guidance.
A personalized development and growth plan aligned with your career goals.

At InnoIT, we believe talent thrives in an environment where learning, innovation and enjoying the journey go hand in hand. xkdbapo

Join our team, lead innovative AI initiatives and continue growing alongside professionals who are passionate about technology.

Find out more about us
Consulting Barcelona Meetup:
Consulting Madrid Meetup:

📌 Ai tech lead (Barcelona)
🏢 Innoit Consulting
📍 Barcelona