3 publicaciones de empleo destacadas de derecho en vc (¡Están contratando!)

Solution Architect
Idrica —Valencia, Valencia provincia
- Informática
- DevOps
- Máster
(fluent Ukrainian) Frontend Product Engineer (Vue/Nuxt)
SupportYourApp —Alicante, Alicante provincia
- Teletrabajo
- Máster
- SQL
- JavaScript
Solicitud rápida
Senior AI/ML Engineer
CONVOTIS Iberia —Alicante, Alicante provincia
- Trabajo híbrido
- Inglés
- Oficina
- Máster
- Seguro médico privado
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
1d

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(fluent Ukrainian) Frontend Product Engineer (Vue/Nuxt)
SupportYourApp —Alicante, Alicante provincia
Ти будеш тісно взаємодіяти з продуктовою командою та нашим VP of Product, для досягнення спільних амбітних результатів. Надання послуг у бізнес-години;
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de derecho en vc

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Solution Architect

Idrica -
Valencia, Valencia provincia

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Detalles del empleo

Cualificaciones

CI/CD
Derecho
Informática
DevOps
Máster
Grado
Machine learning
APIs
Cloud
Requisitos comerciales
Inteligencia artificial

Descripción completa del empleo

THE ROLE:

We are seeking an experienced, highly adaptable, curious, and fast-thinking AI Solutions Architect to design, prototype, and deliver innovative AI capabilities across internal use cases. The ideal candidate combines strong foundational understanding of AI/ML technologies with a proactive drive to stay ahead of industry advancements, especially in generative AI and emerging architectures.

This role bridges business needs and technical execution, architecting dynamic solutions that leverage LLMs, traditional ML, data pipelines, RAG, agents, and enterprise integrations.

CORE RESPONSIBILITIES:

Solution Architecture & Innovation

Translate business challenges into well-scoped AI solutions, balancing feasibility, value, cost, and speed.
Architect end-to-end AI systems, including data ingestion, model training, inference pipelines, monitoring, and governance.
Design and refine LLM/RAG architectures, agent workflows, and prompt engineering patterns
Rapidly explore emerging tools/techniques to extend AI capabilities across the organization
Build reusable reference architectures and best practices for internal teams

Technical Leadership & Execution

Partner with engineering, data science, and product teams to guide implementation
Conduct PoCs, prototypes, and pilots to validate technical suitability before scaling
Ensure solutions meet performance, security, compliance, and cost-efficiency requirements
Integrate AI capabilities into existing systems, both cloud and legacy
Work with MLOps/DevOps to establish robust CI/CD, observability, and lifecycle management

Strategy, Governance & Cross-Functional Collaboration

Complement the Product team by defining the technical AI/ML roadmap, assessing feasibility, shaping the use-case pipeline, and specifying the architecture required to deliver prioritized initiatives
Provide expertise on responsible AI, privacy, and risk-aware design
Communicate complex concepts to stakeholders at all levels
Mentor engineers and data scientists on architecture, quality, and emerging AI capabilities

QUALIFICATIONS:

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field. OR equivalent work experience.
Additional certifications in AI/ML technologies are preferred

Technical Background

7+ years in solution architecture with proficiency in data architecture, including data pipelines, warehousing / Lakehouse concepts, APIs and integration patterns
Strong understanding of security, privacy, compliance, and responsible AI principles, including access control, data protection, and risk mitigation
Deep understanding of machine learning, generative AI, LLMs, RAG, prompt engineering, vector databases, and model evaluation frameworks
Experience translating business requirements into solution architectures, technical roadmaps, and implementation plans
Experience working cross-functionally with engineering, product, data teams, and business stakeholders to deliver measurable outcomes
Knowledge of MLOps/LLMOps practices such as CI/CD, model monitoring, observability, versioning, governance, and lifecycle management

Mindset & Soft Skills

Exceptionally curious, adaptive, and proactive, stays ahead of fast-changing AI technologies
Fast learner with ability to shift between conceptual and hands-on tasks
Strong problem solver with a “builder” mentality
Comfortable with ambiguity, rapid experimentation, and iterative design
Excellent communicator to both technical and business audiences
Collaborative and supportive partner to cross-functional teams

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