Solution Architect (GenAI)

JR Spain; Las Palmas de Gran Canaria; A distancia; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Generative AI Solution Architect to spearhead innovative AI solutions. The role involves designing end-to-end systems and guiding cross-functional teams in AI strategy implementation. Ideal candidates will have at least 5 years of experience in AI/ML architecture and expertise in generative AI methodologies, alongside excellent communication skills.

Formación

• Minimum 5 years in AI/ML solution architecture.
• At least 1 year focused on generative AI.
• Relevant certifications are a plus.

Responsabilidades

• Design and implement generative AI solutions.
• Collaborate with teams to develop AI strategies.
• Evaluate models and frameworks for performance.

Conocimientos

Generative AI

Stakeholder Management

Communication

AI Technologies

Ethical Considerations

Educación

Bachelor's or Master’s in Computer Science, Data Science, Engineering

Herramientas

AWS

Google ML

LangChain

LlamaIndex

Descripción del empleo

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? Job Title: Generative AI Solution Architect

? Location: Remote (Must be based in Spain or Poland)

? Employment Type: Full-Time

? Experience Level: Senior (5+ years)

? Role Overview

At Coforge, we are seeking a Generative AI Solution Architect to lead the design and implementation of cutting-edge generative AI solutions. This role involves working closely with stakeholders to translate business challenges into scalable, ethical, and high-performing AI systems.

? Responsibilities

• Design and implement end-to-end generative AI solutions aligned with business goals and industry best practices.
• Collaborate with cross-functional teams to understand challenges and develop tailored AI strategies.
• Evaluate and select appropriate models, frameworks, and tools for optimal performance and scalability.
• Build prototypes and proof-of-concepts to validate AI approaches.
• Ensure compliance with ethical standards, governance frameworks, and regulatory requirements.
• Provide technical mentorship to engineering and data science teams.
• Stay current with emerging trends in generative AI to inform strategic decisions.
• Communicate complex technical concepts effectively to non-technical stakeholders.
• Deep understanding of generative AI concepts, methodologies, and design patterns.
• Strong communication and stakeholder management skills.
• Ability to assess and select appropriate generative AI technologies and tools.
• Awareness of ethical considerations and governance in generative AI design.
• Experience with vector databases and retrieval-augmented generation (RAG).
• Familiarity with orchestration frameworks like LangChain or LlamaIndex.
• Background in agent-based AI systems or multi-agent collaboration frameworks.

? Qualifications & Experience

• Minimum 5 years in AI/ML solution architecture, with at least 1 year focused on generative AI.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer) are a plus.