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
Senior Fullstack Engineer (Java/Kotlin + React)
Parser Limited —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
Account Executive Digital, Edu
Salesforce —Madrid, Madrid provincia
- Jornada completa
- Español
- Ventas
- Inglés
Security Engineer - Node.js Proactive Defense (worldwide remote, work anywhere)
Cloudlinux —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Máster
- JavaScript
- Linux
- Abono gimnasio
Solicitud rápida
Fullstack Engineer Sr
Once For All - Nalanda —Madrid, Madrid provincia
- De 40.000 € a 65.000 € al año
- Trabajo híbrido
- Español
- Azure
- Inglés
5d
Senior AI Integration & Automation Engineer
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Sistemas ERP
- Oficina
- Máster
- Vacaciones pagadas
Director of Growth & Demand Generation (Full-Stack Marketing Leader)
pubGENIUS —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- JavaScript
- Desarrollo de software
- Marketing
- Teletrabajo opcional
Solicitud rápida
Principal Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Inglés
Expert Manager, Software Engineering (Full Stack)
Bain & Company Inc —Lisboa
- Jornada completa
Senior Site Reliability Engineer - Logging & Monitoring, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- De 60.000 € a 100.000 € al año
- Jornada completa
- Azure
- Inglés
- Java
5d
Principal Developer/Solution Architect
MET Group —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Java
Software Engineering Manager
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
SOC Analyst
Happyrobot Inc. —Madrid, Madrid provincia
- Horas extra
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Seguro oftalmológico
4d
Senior Generative AI Engineer
IQVIA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Máster
3d
Head of IT & Procurement
Deliverect —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- IT
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
AI Deployment Strategist
Mistral AI —Madrid, Madrid provincia
- Jornada completa
- Informática
- Ventas
- JavaScript
DevOps Platform Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
- Seguro de vida
Senior Product Software Engineer
Wolters Kluwer —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- SQL
Arquitecto Devops/SDLC - Github Actions
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
- Seguro de vida

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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

Senior Fullstack Engineer (Java/Kotlin + React)

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Director of Growth & Demand Generation (Full-Stack Marketing Leader)

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Arquitecto Devops/SDLC - Github Actions

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