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

Forward Deployed Engineer Specialist
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
Data Platform Solution Architect
Avanade —Madrid, Madrid provincia
- Azure
- Ventas
- DevOps
Intern Legal Operations and Technology
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
- Microsoft Office
- Vacaciones pagadas
13d
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
Forward Deployed Engineer Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
Head of Digital Marketing
Sulzer —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Marketing
- Inglés
Lead AI Engineer, Business Acceleration
SGS —Madrid, Madrid provincia
- Jornada completa
- Máster
- AWS
- Inteligencia artificial
Solicitud rápida
SOC Engineer
Happyrobot Inc. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Scripting
- Python
- Seguro oftalmológico
2d
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
IT Strategic Risk & Audit Manager
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- Agile
Team Lead Java Engineer, Retail (f/m/x)
AUTO1 Group —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Java
- AWS
- Inteligencia artificial
Solicitud rápida
13d
Senior/Staff Product Engineer
FeverUp —Madrid, Madrid provincia
- Teletrabajo
- Español
- Inglés
- Máster
Solicitud rápida
ISO ISG Business Operations
Lenovo —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Ventas
- Inglés
Senior Software Engineer (.NET)
Frontiers Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Grado
- JavaScript
- Desarrollo de software
- Plan de pensiones
Solicitud rápida
Senior Software Engineer (f/m/d)
Axpo —Madrid, Madrid provincia
- DevOps
- Inglés
- Oficina
Infrastructure Solutions Sales Specialist
Lenovo —Madrid, Madrid provincia
- CRM software
- Español
- Ventas
Senior Manager Data Science
Solera —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Machine learning
- Python
Intel Client Technologist &Technical Sales Support
Lenovo —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Ventas
GTM Engineer - Revenue Programs
Make —Madrid, Madrid provincia
- Ventas
- Máster
- APIs
- Seguro de vida
Graduate Program - Business Development Representative SME & Mid-Market / Digital DACH (m/f/x)
osapiens —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
Solicitud rápida

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

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Forward Deployed Engineer Specialist

Accenture -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Arquitectura de microservicios
Terraform
APIs
Escalabilidad
Cloud
Inteligencia artificial
Debugging

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
Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments
Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones
Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready
Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration
Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy
Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you
Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams
Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice

Basic Qualifications
Commercial experience with cloud-native systems (APIs, microservices, containerization, serverless).
Experience of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Commercial experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
Strong experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
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

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ai full stack empleos en madrid, md

Forward Deployed Engineer Specialist

Data Platform Solution Architect

Intern Legal Operations and Technology

Director, Data Engineering (Capital Markets)

Forward Deployed Engineer Manager

Head of Digital Marketing

Lead AI Engineer, Business Acceleration

SOC Engineer

MLOps Engineer - Agentic Platform

IT Strategic Risk & Audit Manager

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

Senior/Staff Product Engineer

ISO ISG Business Operations

Senior Software Engineer (.NET)

Senior Software Engineer (f/m/d)

Infrastructure Solutions Sales Specialist

Senior Manager Data Science

Intel Client Technologist &Technical Sales Support

GTM Engineer - Revenue Programs

Graduate Program - Business Development Representative SME & Mid-Market / Digital DACH (m/f/x)

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