20 publicaciones de empleo destacadas de google cloud ai architect en majadahonda, md (¡Están contratando!)

Forward Deployed Engineer Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
14d
Data Engineer (GCP)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- SQL
Administrador SHAREPOINT
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Sistema operativo Windows
- SharePoint
2d
Databricks Resident Solutions Architect (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
Presales Solution Architect / Azure, AI & Automation
Devoteam Spain —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
- Machine learning
- Formación continua
Solicitud rápida
9d
IT Strategy Consultant
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Informática
- Máster
Manager - Salesforce Marketing Cloud Development
MAP —Madrid, Madrid provincia
- Inglés
- Oficina
- SQL
Solicitud rápida
Senior Technical Project Manager - Martech
Wunderman Thompson MAP —Madrid, Madrid provincia
- CRM software
- Oficina
- AWS
Gestor de Cambios
Kyndryl —Tres Cantos, Madrid provincia
- Jornada completa
- DevOps
- Sistema operativo Windows
- AWS
Manager - Salesforce Marketing Cloud Development
VML/WPP Enterprise Solutions —Madrid, Madrid provincia
- Inglés
- Oficina
- SQL
Manager - Salesforce Marketing Cloud Development
Wunderman Thompson MAP —Madrid, Madrid provincia
- Inglés
- Oficina
- SQL
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
GCP AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
Cloud Engineer - Data Platforms
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
13d
Global Account Manager EMEA [REMOTE]
Upbound - Job Posting —Madrid, Madrid provincia
- Teletrabajo
- Ventas
Solicitud rápida
Senior Developer - Salesforce Marketing Cloud
MAP —Madrid, Madrid provincia
- Ventas
- Inglés
- Oficina
Solicitud rápida
Manager, SAP Platform & Integrations
Aleph Holding —Madrid, Madrid provincia
- Desde 50.000 € al año
- Jornada completa
- Informática
- Inglés
- Grado
Senior Data Insights Consultant
VML/WPP Enterprise Solutions —Madrid, Madrid provincia
- Inglés
- Oficina
- SQL
Data Engineer
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Máster
18h
Identity & Access Management (IAM) Consultant
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
2d

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Forward Deployed Engineer Manager

Accenture -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
Hace 14 días

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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Refina tu búsqueda

google cloud ai architect empleos en majadahonda, md

Forward Deployed Engineer Manager

Data Engineer (GCP)

Administrador SHAREPOINT

Databricks Resident Solutions Architect (m/f/*)

Presales Solution Architect / Azure, AI & Automation

IT Strategy Consultant

Manager - Salesforce Marketing Cloud Development

Senior Technical Project Manager - Martech

Gestor de Cambios

Manager - Salesforce Marketing Cloud Development

Manager - Salesforce Marketing Cloud Development

GCP Senior AI Engineer

GCP AI Engineer

Cloud Engineer - Data Platforms

Global Account Manager EMEA [REMOTE]

Senior Developer - Salesforce Marketing Cloud

Manager, SAP Platform & Integrations

Senior Data Insights Consultant

Data Engineer

Identity & Access Management (IAM) Consultant

Quiero recibir la alerta de empleo más reciente de google cloud ai architect en majadahonda, md

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