Senior AI Solutions Engineer

• Applied AI with impact: real projects in productivity, automation, and business transformation, beyond proofs of concept.
• Leadership and professional growth: You will assume a prominent role in strategic AI initiatives, with visibility to clients and reference teams, recognition for your technical contribution, and opportunities to consolidate your professional reputation and evolve towards positions of greater responsibility within Izertis.
• Technical reference for the AI CoE: You will play a leading role in defining the architectures, standards, and best practices of the AI CoE, driving technical excellence and contributing to the evolution of our AI solutions.
• Technical autonomy and protagonism: ability to propose architectures and participate directly in their construction and evolution.
• Innovation with rigor: an AI CoE that combines advanced AI with engineering, security, and quality standards.
• Collaboration and flexibility: learning with specialists from different disciplines and flexible ways of working depending on the conditions of the position.
• Permanent contract.
• Salary in line with your experience and expectations.
• Participation in data transformation and modernization projects.
• Flexible compensation: medical insurance, restaurant ticket, nursery voucher, or transportation.
• Free English classes to improve or reinforce your level.
• Access to a wide platform of benefits with discounts on flights, hotels, fashion, technology, home, and more.
• 22 working days of vacation, your birthday, and the days December 24 and 31.
• Continuous Innovation: Working with a modern technology stack and challenging projects.
• Flexibility: Collaborative and dynamic work environment, with a focus on autonomy and growth.

At Izertis, we want to incorporate a senior professional into our AI Center of Excellence with solid software engineering fundamentals, solution design capability, and experience developing and industrializing AI applications.

We are looking for a hands-on profile that combines business vision, architectural judgment, and fullstack development (Currently react+Python and Azure Cloud environment). Someone who enjoys building robust, secure, and maintainable enterprise solutions, from the initial problem to its deployment and evolution in production.

Design, develop, and evolve enterprise solutions based on generative and agentic AI, applying engineering best practices and collaborating with the specialist teams of the AI CoE.

• Design AI solutions with a business vision. Transform business needs and challenges into efficient, scalable, secure, and maintainable technical architectures, selecting the most suitable technologies for each context.
• Build and industrialize AI solutions. Technically lead the hands-on development of applications based on generative AI, RAG, intelligent agents, and advanced automations, integrating them with real business systems and processes.
• Drive excellence in software engineering. Develop robust solutions in Python, applying best practices in architecture, code quality, testing, security, and modular design, avoiding unnecessary complexity and technical debt.
• Take solutions from design to production. Participate in their entire lifecycle, from definition and development to deployment, observability, optimization, and continuous evolution, in collaboration with specialist teams.
• Boost AI-assisted development. Incorporate AI-assisted engineering tools and methodologies to accelerate software delivery, always guaranteeing technical rigor, security, and the quality of results.
• Contribute to the technological leadership of the AI CoE. Provide judgment in architectural decisions, promote reusable standards and components, share knowledge, and collaborate with teams and clients to drive innovative solutions with measurable impact.
• Translate business needs into modular, scalable, and efficient solution architectures, with justified decisions regarding security, costs, and portability.
• Develop backend services, APIs, integrations, and critical components with Python, using automated testing and maintainable code. Azure Cloud environment. And develop the front end with react.
• Build solutions with LLMs, RAG, semantic search, workflows, and agentic tools, choosing AI only when it adds value.
• Participate in the end-to-end cycle: design, CI/CD, deployment, observability, security, operation, and continuous improvement, alongside the platform and cybersecurity teams.
• Use AI-assisted development tools with critical review, technical validation, and quality controls.
• Collaborate with internal clients and multidisciplinary teams and contribute to the AI CoE's reusable standards and components.

Preferably in Madrid to work under a hybrid modality in the izertis offices. Other locations in Spain can be considered.