20 publicaciones de empleo destacadas de ai full stack en madrid, md (¡Están contratando!)

Forward Deployed Engineer Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
Team Lead Java Engineer, Retail (f/m/x)
AUTO1 Group —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Java
- AWS
- Inteligencia artificial
Solicitud rápida
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Data Platform Solution Architect
Avanade —Madrid, Madrid provincia
- Azure
- Ventas
- DevOps
Senior/Staff Product Engineer
FeverUp —Madrid, Madrid provincia
- Teletrabajo
- Español
- Inglés
- Máster
Solicitud rápida
Senior Software Engineer (f/m/d)
Axpo —Madrid, Madrid provincia
- DevOps
- Inglés
- Oficina
Senior Software Engineer (.NET)
Frontiers Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Grado
- JavaScript
- Desarrollo de software
- Plan de pensiones
Solicitud rápida
Senior Manager Data Science
Solera —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Machine learning
- Python
Intel HPC and Service Provider Technical Sales Consultant
Lenovo —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Ventas
Senior Software Engineer (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
- Plan de pensiones
Consultor/a senior IA Generativa
Repsol —Arganzuela-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
- Seguro médico privado
- Plan de pensiones
10d
Revenue Operations Manager (all genders)
fiskaly —Madrid, Madrid provincia
- De 60.000 € a 70.000 € al año
- Jornada completa
- Teletrabajo
- Español
- Ventas
- Inglés
Solicitud rápida
Enterprise Solutions Consultant (Pre-Sales)
Malt —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Inglés
- Máster
Senior Manager Platform & Data
Embat —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
Account Manager
Lenovo —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Ventas
- Grado
- Manufactura
6d
Lead, Software Engineering
Bain & Company Inc —Lisboa
- Jornada completa
- Máster
Business Development / Sales Manager, FSI
Neurons Lab —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- CRM software
- Inglés
- SQL
Account Executive Enterprise Public Sector, Iberia
Mistral AI —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Ventas
6d
Group Lead Generation Operations Manager
Coface Espana —Madrid, Madrid provincia
- Jornada completa
- Ventas
- SQL
- POS

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Forward Deployed Engineer Manager

Accenture -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Arquitectura de microservicios
APIs
Escalabilidad
Cloud
Inteligencia artificial

Descripción completa del empleo

Role Description

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.

The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Key Responsibilities

Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full programme from architecture through adoption
Own programme-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached
Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments
Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at programme scale
Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritisation frameworks, and multi-year AI adoption roadmaps
Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice
Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams
Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers

Basic Qualifications
Strong engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
Expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
Strong experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports"
Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify
Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on
Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level
Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching
People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations
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ai full stack empleos en madrid, md

Forward Deployed Engineer Manager

Director, Data Engineering (Capital Markets)

Team Lead Java Engineer, Retail (f/m/x)

MLOps Engineer - Agentic Platform

Data Platform Solution Architect

Senior/Staff Product Engineer

Senior Software Engineer (f/m/d)

Senior Software Engineer (.NET)

Senior Manager Data Science

Intel HPC and Service Provider Technical Sales Consultant

Senior Software Engineer (m/f/d)

Consultor/a senior IA Generativa

Revenue Operations Manager (all genders)

Enterprise Solutions Consultant (Pre-Sales)

Senior Manager Platform & Data

Account Manager

Lead, Software Engineering

Business Development / Sales Manager, FSI

Account Executive Enterprise Public Sector, Iberia

Group Lead Generation Operations Manager

Quiero recibir la alerta de empleo más reciente de ai full stack en madrid, md

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