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
Software Engineering Manager
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
GRC Compliance Specialist
Happyrobot Inc. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Ventas
- Inglés
- AWS
- Seguro oftalmológico
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
Senior AI Product Engineer
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- AWS
- Grado
Solicitud rápida
Senior Full-Stack Engineer (.net, Vue.js)
Frontiers Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Investigación
- Seguro de vida
- Plan de pensiones
Solicitud rápida
SOC Engineer
Happyrobot Inc. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Scripting
- Python
- Seguro oftalmológico
9d
Data Platform Solution Architect
Avanade —Madrid, Madrid provincia
- Azure
- Ventas
- DevOps
Principal Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Inglés
GTM Engineer - Revenue Programs
Make —Madrid, Madrid provincia
- Ventas
- Máster
- APIs
- Seguro de vida
Head of Marketing
saas.group —Madrid, Madrid provincia
- Teletrabajo
- Inglés
- APIs
- Marketing
- Teletrabajo opcional
Solicitud rápida
Azure Cloud & Dev Architect
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Bases de datos
IT Strategic Risk & Audit Manager
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- Agile
ISO ISG Business Operations
Lenovo —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Ventas
- Inglés
Graduate Program - Business Development Representative DACH / Benelux Market (m/f/x)
osapiens —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
Solicitud rápida
Principal Developer/Solution Architect
MET Group —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Java
Client Manager
Lenovo —Madrid, Madrid provincia
- Ventas
- Inglés
- Grado
Cloud Security Engineer
Happyrobot Inc. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Seguro oftalmológico
9d
Backend Engineer
Dcycle —Madrid, Madrid provincia
- Trabajo híbrido
- DevOps
- SQL
- AWS
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

Software Engineering Manager

GRC Compliance Specialist

Revenue Operations Manager (all genders)

Senior AI Product Engineer

Senior Full-Stack Engineer (.net, Vue.js)

SOC Engineer

Data Platform Solution Architect

Principal Software Engineer - QuantumBlack, AI by McKinsey

GTM Engineer - Revenue Programs

Head of Marketing

Azure Cloud & Dev Architect

IT Strategic Risk & Audit Manager

ISO ISG Business Operations

Graduate Program - Business Development Representative DACH / Benelux Market (m/f/x)

Principal Developer/Solution Architect

Client Manager

Cloud Security Engineer

Backend Engineer

Group Lead Generation Operations Manager

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

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