Solution Architect (GenAI)

JR Spain; Almería; A distancia; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A technology solutions company is seeking a Generative AI Solution Architect to lead the design and implementation of innovative generative AI solutions. This remote role requires strong expertise in AI/ML architectures, collaborative skills, and a commitment to ethical AI principles. Ideal candidates will have over 5 years of experience, including a solid background in generative AI. Join us to drive transformative AI initiatives in an agile environment.

Formación

• 5+ years in AI/ML solution architecture, with 1+ year focused on generative AI.
• Relevant certifications like AWS Certified Machine Learning are a plus.

Responsabilidades

• Design and implement generative AI solutions aligned with business goals.
• Collaborate with teams to develop tailored AI strategies.
• Ensure compliance with ethical standards and regulatory requirements.

Conocimientos

Generative AI design

Stakeholder management

Technical mentorship

Model evaluation

Communication skills

Educación

Bachelor’s or Master’s degree in Computer Science or related field

Herramientas

Vector databases

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.