20 publicaciones de empleo destacadas de ai solution architect, byteplus en madrid, md (¡Están contratando!)

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GFR Technologies SE —Madrid, Madrid provincia
- Azure
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- Bases de datos
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AI Engineer, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
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- Jornada completa
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Anthropic —Madrid, Madrid provincia
- Español
- Informática
- Inglés
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Data Architect Ontology (Ontologist and Taxonomist)
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PS, Solution Architect ( Armis/Veza)
ServiceNow —Madrid, Madrid provincia
- Jornada completa
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AI Architect
Siemens Energy —Tres Cantos, Madrid provincia
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- Informática
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FP&A Solution AI Developer
Board International —Madrid, Madrid provincia
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- Inteligencia artificial
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Partner Solutions Architect, Agentic Next Gen Development, AWS Partner Field EMEA
AWS EMEA SARL (Spain Branch) —Madrid, Madrid provincia
- Jornada completa
- Español
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Product Family Architect (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
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6d
Forward Deployed AI Engineer
Keyrus Spain —Alcobendas, Madrid provincia
- De 70.000 € a 85.000 € al año
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- Inglés
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AI Data Architect (m/f/d)
BASF —Madrid, Madrid provincia
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Lead AI Architect
The Cigna Group —Pozuelo de Alarcón, Madrid provincia
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Lead AI Architect, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
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- Jornada completa
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AI Solution Architect, BytePlus
ByteDance —Madrid, Madrid provincia
- Informática
- Grado
- Inteligencia artificial
Lead Data Architect (AI & Data Consulting)
EY —Madrid, Madrid provincia
- Español
- Azure
- Ventas

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Applied AI Engineer

Google -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
De 90.000 € a 92.000 € al año
Hace 6 días

Cualificaciones

Informática
React
Arquitectura de microservicios
Grado
NLP
Desarrollo de software
Cloud
Inteligencia artificial
Python
Debugging

Descripción completa del empleo

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Madrid, Spain.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
6 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
Experience developing and deploying multilingual natural language processing models.

Preferred qualifications:

Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
Experience in debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection.
Experience with troubleshooting live, high-traffic systems during critical windows.
Ability to trace conversation IDs across microservices to identify and resolve failures in real-time.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Spain: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Own the delivery of the Customer User Journeys (CUJs), ensuring that conversational flows are not just functional, but optimized and production ready for [top customer/industry priorities].
Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
Implement critical infrastructure including rate limiting, error managing, and regional failover strategies; develop monitor systems and alerting dashboards during "Go-Live" windows to ensure stability as traffic scales.
Travel up to 50% of the time.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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