GenAi Solution Architect
Autónomo ( 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 the core concepts and methodologies behind generative models and familiarity with design patterns specific to AI solutions.
- The ability to communicate complex concepts, to challenge and influence a diverse set of stakeholders to ensure consistency of understanding and alignment of goals. To be a confident and practised communicator, with good stakeholder management skills, both within the organisation and externally.
- Ability to assess and select the right generative AI technologies and tools that align with the solution's design requirements.
- Awareness of ethical considerations, governance frameworks, and guidelines for responsible AI design, especially for generative models that can create new content
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 a related field. Relevant certifications (e.g., AWS Certified Machine Learning – Speciality, Google Professional Machine Learning Engineer) are a plus