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

AI - Software Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Java
AI & SaaS Security Expert / Cybersecurity Professional (f/m/d)
Siemens —Tres Cantos, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Máster
- Inteligencia artificial
7d
Technology Cloud & Integration Architect
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Field Sales Representative, Financial Services, Google Cloud
Google —Madrid, Madrid provincia
- De 88.000 € a 90.000 € al año
- Jornada completa
- Español
- Ventas
- Grado
AI Architect Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Java
- Máster
- APIs
Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- DevOps
- Java
- Programa de recomendación
- Plan de pensiones
6d
HR Operations Program Manager
Netskope —Madrid, Madrid provincia
- De 64.000 € a 118.500 € al año
- Español
- Google Suite
- Grado
9d
Senior Developer - Salesforce Marketing Cloud
MAP —Madrid, Madrid provincia
- Ventas
- Inglés
- Oficina
Solicitud rápida
Senior GEO Manager - LLM Search Optimization
Make —Madrid, Madrid provincia
- Inglés
- Máster
- SQL
- Seguro de vida
GRC Cibersecurity Senior Specialist
Ferrovial Headquarters —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Inglés
Data Analyst - Financial Crime
Ebury —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Inglés
- Oficina
Solicitud rápida
7d
Senior Backend Engineer (.NET, Cloud & APIs)
Nextlane —Madrid, Madrid provincia
- Disponibilidad fin de semana
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Senior/Staff Product Engineer
FeverUp —Madrid, Madrid provincia
- Teletrabajo
- Español
- Inglés
- Máster
Solicitud rápida
Senior Manager - Data Science (Martech/CRM)
Wunderman Thompson MAP —Madrid, Madrid provincia
- CRM software
- Azure
- Salesforce
Global Principal Data Analyst
Avolta —Madrid, Madrid provincia
- Azure
- Informática
- Inglés
Cloud Architect / Senior Cloud Engineer especializado en GCP
Deloitte —Madrid, Madrid provincia
- Teletrabajo
- Mantenimiento
- Oficina
- Inteligencia artificial
- Flexibilidad horaria
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
Data Analyst - Fincrime Reporting
Ebury —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Inglés
- Oficina
Solicitud rápida
7d
Senior Data Insights Consultant
Wunderman Thompson MAP —Madrid, Madrid provincia
- Inglés
- Oficina
- SQL
Senior Backend Software Engineer - Python
Aircall —Madrid, Madrid provincia
- Español
- DevOps
- Inglés
1d

Quiero recibir la alerta de empleo más reciente de google cloud ai en las matas, md

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

Explorar empleos en más ubicaciones

google cloud ai jobs near las matas, md

Empleos de Data Consultant en Madrid, Madrid Provincia

Empleos de Software Engineer en Madrid, Madrid Provincia

Empleos de Data Analyst en Madrid, Madrid Provincia

Empleos de Back End Developer en Madrid, Madrid Provincia

Empleos de Ai Internship en Barcelona, Barcelona Provincia

Empleos de Project Manager en Alicante Provincia

Empleos de Area Manager en Alicante Provincia

Empleos de Hotel Sales Manager en Andalucía

Empleos de Health, Field Service Engineer en Madrid, Madrid Provincia

Empleos de Sales en 08470 Sant Celoni, Barcelona Provincia

Empleos de Sales Assistant en Cáceres, Cáceres Provincia

Empleos de Hr Specialist en Madrid, Madrid Provincia

Empleos de Seo Specialist en Barcelona, Barcelona Provincia

Empleos de Seo en Banyeres De Mariola, Alicante Provincia

Empleos de Seo en Pinoso, Alicante Provincia

Empleos de Data Consultant en Barcelona, Barcelona Provincia

Empleos de Software Engineer en Alicante, Alicante Provincia

Empleos de C++ Software Developer en Barcelona, Barcelona Provincia

Empleos de Software Engineer en El Álamo, Madrid Provincia

Empleos de Software Engineer en El Morell, Tarragona Provincia

AI - Software Engineer

Accenture -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Azure
Derecho
Informática
CSS
Microsoft SQL Server
NoSQL
Java
Máster
Arquitectura de microservicios
SQL
AWS
Docker
Grado
JavaScript
SDKs
APIs
Agile
Cloud
Inteligencia artificial
Python
Debugging
HTML

Descripción completa del empleo

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are

An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC

The Work

You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.

Agent Architecture & Engineering

Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.

AI Platform Integration

Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
Contribute to shared libraries, SDKs, and patterns that can be reused across clients.

Cloud-Native Engineering

Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting for your services in production.

Domain-Specific Workflows

Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
Work closely with client SMEs to translate business workflows into agentic solutions.

Client Engagement

Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.

Measure & Improve

Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Iterate rapidly based on data, feedback, and changing requirements.

Knowledge Sharing

Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
Contribute to internal communities of practice around AI-native and agentic engineering.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

We are:
A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.
You are
An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.
You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC
The Work
You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.
Agent Architecture & Engineering
Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.
AI Platform Integration
Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
Contribute to shared libraries, SDKs, and patterns that can be reused across clients.
Cloud-Native Engineering
Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting for your services in production.
Domain-Specific Workflows
Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
Work closely with client SMEs to translate business workflows into agentic solutions.
Client Engagement
Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.
Measure & Improve
Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Iterate rapidly based on data, feedback, and changing requirements.
Knowledge Sharing
Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
Contribute to internal communities of practice around AI-native and agentic engineering.
Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.
Key Responsibilities
Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality
Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers
Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks
Own the quality of AI-generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not
Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows; present AI productivity and quality metrics to project stakeholders
Own delivery end-to-end — from design through to production support — in Agile sprint cycles alongside client engineering teams
Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team
Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends — understanding data flows, context handoffs, and integration points between your code and AI pipelines
Basic Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field
Comercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects)
Proficiency in at least one primary backend language: Python, Java, or TypeScript
Demonstrated hands-on experience using AI tools actively in day-to-day engineering work — with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs
Basic understanding of web technologies including JavaScript, HTML, and CSS
Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines
Understanding of Agile delivery fundamentals
Experience with databases — SQL or NoSQL
Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use
Familiarity with agentic system concepts — awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required

#LI-EU

Solicitar ahora

Refina tu búsqueda

google cloud ai empleos en las matas, md

AI - Software Engineer

AI & SaaS Security Expert / Cybersecurity Professional (f/m/d)

Technology Cloud & Integration Architect

Field Sales Representative, Financial Services, Google Cloud

AI Architect Engineer

Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)

HR Operations Program Manager

Senior Developer - Salesforce Marketing Cloud

Senior GEO Manager - LLM Search Optimization

GRC Cibersecurity Senior Specialist

Data Analyst - Financial Crime

Senior Backend Engineer (.NET, Cloud & APIs)

Senior/Staff Product Engineer

Senior Manager - Data Science (Martech/CRM)

Global Principal Data Analyst

Cloud Architect / Senior Cloud Engineer especializado en GCP

Senior AI Engineer / AI Architect

Data Analyst - Fincrime Reporting

Senior Data Insights Consultant

Senior Backend Software Engineer - Python

Quiero recibir la alerta de empleo más reciente de google cloud ai en las matas, md

Related Searches

Explorar empleos en más ubicaciones

Basic Qualifications

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión