Solution Deployment Manager

Xebia; Madrid; Presencial; EUR 75.000 - 100.000; Jornada completa

Descripción de la vacante

A leading consulting company in Madrid is seeking an experienced Senior Solution Architect to lead the design of AI and Machine Learning solutions across various industries. This pivotal role requires expertise in AI, Generative AI, and cloud technologies while mentoring technical teams and engaging with executive stakeholders. The successful candidate will be instrumental in shaping project direction and fostering innovation in a fast-paced environment.

Formación

• Deep expertise in AI, Machine Learning, Generative AI, and Agentic AI.
• Experience engaging with executive-level stakeholders.
• Familiarity with large-language models, RAG, and vector databases.

Responsabilidades

• Define project scope, resource planning, and delivery timelines.
• Provide mentorship to engineering and data science teams.
• Represent the organization in workshops and technical forums.

Conocimientos

TensorFlow

PyTorch

scikit-learn

Python

Excellent communication skills

Herramientas

AWS

Azure

GCP

Descripción del empleo

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting‑edge technology and game‑changing consulting to companies on the brink of AI‑driven digital transformation. Since 2001, we have grown into a full‑service digital consulting company with 5500+ professionals working on a worldwide ambition. Fuelling the growth of our company with our knowledge‑worker culture, working with Xebia means you’ll experience in‑depth expertise based on an authentic, value‑led, and high‑quality way of working that inspires all we do.

We welcome all individuals and evaluate solely on the quality of their work and teamwork.

We are looking for an experienced Senior Solution Architect with deep expertise in AI, Machine Learning, Generative AI, and Agentic AI. This senior technical leadership role focuses on designing, developing, and scaling AI/ML solutions for complex enterprise environments across various industries.

Key Responsibilities

• Project Leadership: define project scope, resource planning, risk management, and delivery timelines.
• Technical Mentorship: provide guidance and mentorship to engineering and data science teams.
• Represent the organization in workshops, conferences, and technical forums.

Qualifications

• Proficiency with TensorFlow, PyTorch, scikit‑learn, and GenAI tools.
• Familiarity with large‑language models, Retrieval‑Augmented Generation (RAG), vector databases, multi‑agent systems, and evaluation techniques.
• Proficient in Python.
• Excellent communication skills, including experience engaging with executive‑level stakeholders.
• Knowledge of cloud platforms (AWS, Azure, GCP), including MLOps practices.
• Experience with data engineering, large‑scale data infrastructure, and data governance.
• Understanding of AI project economics and business case development.