Senior AI Solutions Architect

beBeePython; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A technology company in Madrid is seeking a Senior AI Solutions Architect to lead the development of GenAI architecture using Python and FastAPI. This role requires extensive experience in Python development, containerization, and AWS services. The position offers a competitive salary and opportunities for ongoing training and professional development.

Servicios

Competitive salary

Dynamic and collaborative work environment

Ongoing training and professional development opportunities

Formación

• 5+ years professional experience in Python development.
• Solid understanding of software engineering best practices.
• Experience with CI / CD workflows and tools.

Responsabilidades

• Design and implement reusable Python libraries for GenAI applications.
• Build microservices using FastAPI.
• Provide technical guidance to development teams.

Conocimientos

Python development

FastAPI

Containerization (Docker)

AWS services

Herramientas

Git

Jenkins

Sonar

Descripción del empleo

Job Title: Senior AI Solutions Architect

We are seeking an experienced Python Developer to lead the design, development and support of GenAI architecture. The role involves designing extensible tooling and microservices, researching state-of-the-art GenAI technologies and providing technical guidance to development teams.

About the Role

This is a highly technical position that requires strong experience with Python, FastAPI and containerization. You will be working closely with cross-functional teams to research, prototype and review current GenAI / LLM techniques and recommend adoption paths.

Responsibilities

• Design and implement reusable Python libraries, scaffolds and components for GenAI applications.
• Build microservices using FastAPI to expose GenAI functionality.
• Research, prototype and review current GenAI / LLM techniques and recommend adoption paths.
• Provide technical guidance, incident resolution and integration issues to development teams.
• Packaging and running components in containers; collaborate on CI / CD automation.
• Instrument and monitor services using cloud observability tools.

Requirements

• 5+ years professional experience in Python development.
• Strong experience building reusable tools / modules and projects from scratch.
• Hands-on with FastAPI and Python packaging / tools (Pip, Poetry).
• Solid understanding of software engineering best practices, testing and design patterns.
• Experience with containers (Docker) and production deployments.
• Familiarity with AWS services (CloudWatch, X-Ray, AppRunner / Fargate, Lambda).
• Experience with CI / CD workflows and tools (Git, Jenkins, Sonar).

We Offer

• A competitive salary.
• A dynamic and collaborative work environment.
• Ongoing training and professional development opportunities.