AI Solutions Engineer (Corporate IS)

In this role, you will work closely with Data & AI Scientists, Data Engineers, IT teams, and business stakeholders to build, deploy, and integrate AI-powered applications that create practical business value. You will play a key role in operationalizing machine learning and Generative AI solutions, including knowledge assistants, intelligent automation, RAG-based applications, and AI-enabled business tools., * Design, develop, and maintain AI-powered applications and services that support business processes across Synthon

• Collaborate with Data & AI Scientists, Data Engineers, and business stakeholders to transform AI concepts and prototypes into production-ready solutions
• Develop APIs, integrations, and backend services that enable the adoption of AI solutions within enterprise platforms and business applications
• Build and manage secure, scalable, and reliable cloud environments for AI applications, primarily within Microsoft Azure
• Deploy, monitor, maintain, and continuously improve of machine learning and Generative AI solutions
• Implement engineering best practices, including CI/CD, automation, testing, and version control.
• Integrate AI solutions with enterprise systems, collaboration platforms, and knowledge repositories.
• Contribute to AI platform architecture, reusable engineering patterns, security controls, and governance standards
• Stay informed about developments in AI engineering, cloud technologies, and software development practices, and evaluate their potential value and applicability within Synthon.

Do you have experience in Software development?, Do you have a Master's degree?, * BSc or MSc in Computer Science, Software Engineering, Artificial Intelligence, or a related field

• At least 3 years of relevant experience in software engineering, AI engineering, cloud engineering, or a related discipline
• Strong Python programming skills
• Experience developing APIs, backend services, or business applications
• Experience working with cloud platforms, preferably Microsoft Azure
• Experience with software engineering and deployment best practices, including version control, testing, CI/CD, and cloud-based application deployment
• Understanding of cloud security, authentication, and application lifecycle management.

Preferred Qualifications

• Experience developing or deploying AI and Generative AI applications
• Familiarity with Microsoft Azure AI services, Microsoft Fabric, or related cloud technologies
• Experience building enterprise applications, integrations, or internal platforms
• Experience working in pharmaceutical, biotech, manufacturing, or other regulated industries., * Good command of the Spanish and English language, both excellent verbal and written communication skills.

Personal skills

• You are a hands-on and solution-oriented engineer who enjoys building reliable and scalable technology solutions.
• You combine strong analytical and problem-solving skills with a pragmatic mindset and a focus on delivering business value.
• You have strong communication skills and the ability to collaborate and work effectively with both technical and non-technical stakeholders and enjoy collaborating in multidisciplinary teams.
• You take ownership of your work, continuously seek opportunities to improve, and have a strong interest in emerging AI and cloud technologies