[P-278] - Solution Architect (GenAI)

Coforge; Barcelona; A distancia; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading technology firm is seeking a Generative AI Solution Architect to design and implement cutting-edge AI solutions. This senior role requires a minimum of 5 years in AI/ML with a focus on generative AI. Candidates should possess strong communication and stakeholder management skills along with relevant educational qualifications. The position offers the opportunity to work remotely while shaping the future of AI.

Formación

• Minimum 5 years in AI/ML solution architecture, with at least 1 year focused on generative AI.
• Deep understanding of generative AI concepts, methodologies, and design patterns.
• Relevant certifications are a plus.

Responsabilidades

• Design and implement end-to-end generative AI solutions aligned with business goals.
• Collaborate with cross-functional teams to develop tailored AI strategies.
• Provide technical mentorship to engineering and data science teams.

Conocimientos

AI

GenAI

Data Architecture

Communication

Stakeholder Management

Educación

Bachelor’s or Master’s degree in Computer Science

Herramientas

AWS Certified Machine Learning – Specialty

Google Professional Machine Learning Engineer

Descripción del empleo

Job Title:

Generative AI Solution Architect Location:

Remote (Must be based in Spain or Poland) Employment Type:

Full-Time Experience Level:

Senior (5+ years) Skills:

AI, GenAI & Data Architecture.

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.

Mandatory Skills 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.

Nice-to-Have Skills 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.

Ready to shape the future of AI?