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

Forward Deployed Engineer Specialist
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
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
Senior Software Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Trabajo híbrido
- 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
Team Lead Java Engineer, Retail (f/m/x)
AUTO1 Group —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Java
- AWS
- Inteligencia artificial
Solicitud rápida
14d
Expert Manager, Software Engineering (Full Stack)
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
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
Head of IT & Procurement
Deliverect —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- IT
Solicitud rápida
Expert Manager, Software Engineering (Full Stack)
Bain & Company Inc —Lisboa
- Jornada completa
Technical Consultant - Infrastructure Solutions
Lenovo —Madrid, Madrid provincia
- Español
- Inglés
Data Software Engineer
The Workshop —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- DevOps
- Oficina
- Teletrabajo opcional
- Abono gimnasio
SOC Analyst
Happyrobot Inc. —Madrid, Madrid provincia
- Horas extra
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Seguro oftalmológico
3d
Software Engineering Manager
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Senior Software Engineer
SkySpecs —Madrid, Madrid provincia
- Jornada completa
- AWS
- JavaScript
- APIs
Solicitud rápida
Manager - BCG Vantage, Data Centers and AI Infrastructure
Boston Consulting Group —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Grado
- Inteligencia artificial
Data Platform Solution Architect
Avanade —Madrid, Madrid provincia
- Azure
- Ventas
- DevOps
Infrastructure Solutions Sales Specialist
Lenovo —Madrid, Madrid provincia
- CRM software
- Español
- Ventas
DevOps Platform Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
- Seguro de vida
Data Engineer - RHE - Data and Platform Engineer
Roche —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
11d
Forward Deployed Engineer Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial

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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 alcobendas, md

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