20 publicaciones de empleo destacadas de workshop service engineer en pinto, md (¡Están contratando!)

Forward Deployed Engineer Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
Business Solutions Analyst III
Cencora —Madrid, Madrid provincia
- Jornada completa
- Agile
SAP Service Consultant (m/f/d)
Liebherr IT Shared Service Centre Ibérica, S.L. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Servicio al cliente
- Inglés
Value Engineer (Supply Chain) - Iberia & Latam
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Oracle
- Informática
- Vacaciones pagadas
Senior Strategic Account Executive - Global
BLP Digital AG —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Ventas
- Sistemas ERP
- Inglés
Senior Solutions Architect (Data & AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- APIs
AI Manager Technology Advisor
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Data Engineering Lead / Evangelist
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Máster
- Grado
- Parking gratuito
- Seguro de vida
Java Senior Software Engineer – CX (Hybrid)
eDreams ODIGEO —Madrid, Madrid provincia
- Inglés
- Oficina
- Java
Strategic Account Executive - Global
BLP Digital AG —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Ventas
- Sistemas ERP
- Inglés
Data Governance Engineer - Collibra
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Parking gratuito
- Seguro de vida
Front End Lead Engineer – Prime (Hybrid)
eDreams ODIGEO —Madrid, Madrid provincia
- Oficina
- JavaScript
- Desarrollo de software
Strategic Value & Process Optimisation Consultant - Supply Chain
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Oracle
- Informática
- Vacaciones pagadas
Databricks Resident Solutions Architect (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
Voice/VoIP & MS Teams Voice Expert (x|f|m)
Sartorius —Madrid, Madrid provincia
- Jornada completa
- Azure
- Inglés
- Scripting
- Plan de pensiones
1d
Sales Engineer in Plant Engineering for Intralogistics Systems
Servus Intralogistics GmbH —Madrid, Madrid provincia
- Inglés
- Grado
- Habilidades de comunicación
Value Consultant - Data Analytics & Supply Chain Transformation
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Oracle
- Informática
- Vacaciones pagadas
Forward Deployed AI Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Media jornada
- Trabajo híbrido
- Azure
- Informática
- DevOps
7d
Solution Architect for SAP Manufacturing (m/f/d)
Liebherr IT Shared Service Centre Ibérica, S.L. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- Máster
Forward Deployed AI Engineer (f/m/d)
Axpo —Madrid, Madrid provincia
- Media jornada
- Azure
- Informática
- DevOps
7d

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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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