Generative AI Architect

Company Description Inetum is a European leader in digital services. With a team of 28,000 consultants and specialists, Inetum works every day to create digital impact for businesses, public sector organizations, and society as a whole. The company's solutions are designed to boost both client performance and innovation, while also contributing to the common good. Present in 19 countries with a strong network of local offices, Inetum partners with leading software providers to address the challenges of digital transformation with proximity and flexibility. Job Description • Design and implement end-to-end generative AI solution architectures that meet business requirements and adhere to industry best practices.• Translate complex business challenges into scalable, secure, and cost-efficient architectures leveraging generative AI technologies.• Evaluate and select appropriate frameworks and architectural patterns to ensure performance, scalability, and maintainability.• Develop prototypes and proof-of-concepts to validate architectural decisions and demonstrate business value.• Ensure AI solutions comply with ethical standards, governance frameworks, and regulatory requirements, embedding responsible AI practices into thearchitecture.• Provide technical leadership and mentorship to engineering and data science teams, ensuring alignment with architectural principles.• Stay abreast of emerging trends in GenAI design patterns, agentic frameworks, orchestration tools, and MCP (Model Context Protocol) to inform strategicand architectural decisions.• Communicate complex architectural concepts to technical and non-technical stakeholders effectively. Qualifications Mandatory Skills• Generative AI architecture knowledge, including design patterns, solution blueprints, and best practices for enterprise adoption.• Expertise in cloud platforms (especially AWS) with experience designing solutions using services such s SageMaker, Bedrock, vector databases, etc.• Familiarity with MCP (Model Context Protocol) and its role in extensible, standardized agentic systems.• Strong ability to assess, select, and integrate generative AI models, orchestration frameworks, and agentic approaches into enterprise solutions.• Proven experience in solution architecture, with the ability to design system integrations, APIs, data pipelines, and deployment strategies around GenAI.• Strong stakeholder management skills, with the ability to challenge and influence diverse audiences to align on architectural direction.• Awareness of ethical considerations, governance frameworks, and responsible AI design, especially in generative use cases.Nice to Have Skills• Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.) and applying them to AI/ML solutions.Experience• Minimum 5 years in AI/ML solution architecture, with at least 1 year focused on generative AI solution design and delivery.• Proven track record designing and delivering enterprise-grade AI systems on AWS or other major cloud platforms.Qualifications• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.• Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer) are a plus. Additional Information - Liderazgo técnico y capacidad de gestión de equipos. - Excelentes habilidades de comunicación y presentación. - Pensamiento estratégico y orientación a resultados. - Capacidad para trabajar en entornos dinámicos y con múltiples interlocutores.