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Job Reference:
682143730771584614432460
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2
Posted:
23.07.2025
Expiry Date:
06.09.2025
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Job Description:
GenAi Solution ArchitectAutónomo (Freelance / Contract) - Spain - Remote
JOB RESPONSIBILITIES / ROLE
- Design and implement end-to-end generative AI solutions that meet business requirements and adhere to industry best practices.
- Collaborate with stakeholders to understand business challenges and translate them into technical solutions using generative AI technologies.
- Evaluate and select appropriate AI models, frameworks, and tools to ensure optimal performance and scalability.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility and value of AI solutions.
- Ensure AI solutions comply with ethical standards, governance frameworks, and regulatory requirements.
- Provide technical guidance and mentorship to engineering and data science teams.
- Stay abreast of emerging trends and advancements in generative AI to inform strategic decision-making.
- Communicate complex technical concepts to non-technical stakeholders effectively.
MANDATORY SKILLS
- GenAI specific knowledge, understanding core concepts and methodologies behind generative models and familiarity with design patterns specific to AI solutions.
- Strong communication skills to convey complex concepts, influence stakeholders, and manage relationships within and outside the organization.
- Ability to assess and select appropriate generative AI technologies and tools aligned with solution requirements.
- Awareness of ethical considerations, governance frameworks, and responsible AI guidelines, especially for content-generating models.
NICE TO HAVE SKILLS
- Experience with vector databases and retrieval-augmented generation (RAG) techniques.
- Knowledge of AI orchestration frameworks like LangChain or LlamaIndex.
- Background in developing agent-based AI systems or multi-agent collaboration frameworks.
EXPERIENCE
- Minimum of 5 years in AI/ML solution architecture, with at least 1 year focused on generative AI technologies.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related fields. Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer) are a plus.