Solution Architect (Genai)

Coforge; Elche; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Coforge is seeking a Generative AI Solution Architect to lead the design and implementation of innovative AI systems. The ideal candidate will translate complex business challenges into scalable AI solutions, ensure ethical compliance, and collaborate with various teams. This role is pivotal in shaping the future of AI at Coforge.

Formación

• Minimum 5 years in AI / ML solution architecture, with at least 1 year focused on generative AI.
• Deep understanding of methodologies and design patterns in generative AI.
• Experience with agent-based AI systems or multi-agent collaboration frameworks.

Responsabilidades

• Design and implement end-to-end generative AI solutions aligned with business goals.
• Evaluate and select appropriate models, frameworks, and tools for optimal performance.
• Provide technical mentorship to engineering and data science teams.

Conocimientos

Generative AI concepts

Communication

Stakeholder management

Educación

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)

Herramientas

Vector databases

Orchestration frameworks (e.g., LangChain, LlamaIndex)

Descripción del empleo

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

Experience Level : Senior (5+ years)

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.

• 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.
• 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.

Ready to shape the future of AI?

Seniority level

• Seniority level Director

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

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