10 publicaciones de empleo destacadas de full stack software engineer en san sebastián de los reyes, 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
Senior Full-Stack Developer / AI Specialist (Full-Time / On-Call)
Growmodo GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- DevOps
- Inglés
- Máster
- Teletrabajo opcional
Solicitud rápida
Senior AI Product Engineer
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- AWS
- Grado
Solicitud rápida
Lead, Software Engineering
Bain & Company Inc —Lisboa
- Jornada completa
- Máster
Legal Counsel
Happyrobot Inc. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Negociación
- Seguro oftalmológico
Senior Generative AI Engineer
IQVIA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Máster
4d
Procurement Specialist
Nebius —Madrid, Madrid provincia
- Teletrabajo
- Microsoft Excel
- Inglés
- Microsoft Office
Solicitud rápida
Senior Value Engineer - Public Sector
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Oracle
- Informática
- Vacaciones pagadas
7d
Senior Data Engineer - Analytics Platform
Ebury —Madrid, Madrid provincia
- Español
- Inglés
- Oficina
Solicitud rápida
1d

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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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full stack software engineer empleos en san sebastián de los reyes, md

Forward Deployed Engineer Manager

Director, Data Engineering (Capital Markets)

Senior Full-Stack Developer / AI Specialist (Full-Time / On-Call)

Senior AI Product Engineer

Lead, Software Engineering

Legal Counsel

Senior Generative AI Engineer

Procurement Specialist

Senior Value Engineer - Public Sector

Senior Data Engineer - Analytics Platform

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