• Integrate business unit requirements into the IKAROS software • Model workflows using a graphical editor • Develop automated processes • Integrate content into email and document templates using JavaScript • Test new features and analyze bugs • Optimize existing processes

• Development and integration of intelligent software solutions in C# to support data-driven processes • Design and implementation of innovative features for our applications • Integration of large language models into existing systems • Close collaboration with departments to analyze requirements • Development of AI-based solutions that deliver real added value • Responsibility for code quality and conducting code reviews

• Plan, design and develop new applications for web applications, APIs and backend services using C# • Perform database design and optimization with Entity Framework and SQL Server • Automate build, deployment and release processes • Integrate applications into existing project structures • Work independently and take responsibility for project tasks

• Technical reference for enterprise AI solutions, with expertise across the entire solution lifecycle. • Expertise in scalability, microservices architecture, and data engineering applied to AI. • Leadership in strategic, high-impact projects with a focus on innovation and digital transformation. • Ability to define technical guidelines, roadmaps, and AI strategies aligned with business objectives. • Strong focus on security, data governance, and algorithmic responsibility. • Influence in organizational decisions, acting as a bridge between technology and executive areas. • Participation in applied research, development of internal frameworks, and acceleration of technical teams. • Active contribution to the evolution of the organization's AI culture, promoting training and knowledge sharing. • Systemic vision and the ability to anticipate technological trends to position the company competitively. • Leads the development and integration of AI components (such as LLMs, agents, predictive models) into corporate applications and systems. • Influences architecture, technology, and solution roadmap decisions. • Conducts technical diagnostics and assessments, identifying opportunities to improve and evolve existing solutions. • Facilitates communication between business and technology areas, translating strategic needs into high-impact solutions. • Represents the AI area in technical and strategic forums, promoting alignment with internal and external stakeholders. • Prepares presentations and supporting materials for technical meetings and stakeholder alignments. • Assists management in prioritizing requests and scope management, contributing to on-time, high-quality deliveries. • Shares knowledge on AI frameworks, APIs, and microservices. • Leads discussions with DevOps, Engineering, and Security teams, prioritizing solution scalability. • Leads exploration and application of cutting-edge technologies (LLMs, autonomous agents, generative AI), fostering continuous innovation. • Represents the company at events, technical forums, and strategic partnerships.