Senior Solution Architect –Analytics & AI Applications

The Data Assets, Analytics & AI team focuses on driving digital transformation and innovation by delivering best-in-class analytical solutions that enable data-driven decision-making and performance optimization across the organization.

• Bachelor or Master degree in Computer Science, Engineering, or similar.
• 5+ years' working experience in cloud native application architecture (Azure), expert in microservices, containerization/docker, serverless computing, event-based architectures and service mesh architectures.
• Proficient knowledge of Microsoft Azure services for web application development: Azure Container Apps, Azure functions, Azure SQL, Storage accounts.
• Good understanding of frameworks/components used for application development in Python (Django, Flask, FastAPI) and JavaScript UI Frameworks (React.js, Next.js).
• Experience with data analytics & AI specific services and concepts is a plus (Azure Databricks, MLFlow, Vector Databases, RAG, AI foundry, frameworks to build AI agents, forecasting and optimization models).
• Expert in GitHub ecosystem including VCS, GitHub Actions for CI/CD, working with tickets/issues and pull requests.
• Understanding ML/Ops practices is a plus.
• Experience in applying Agile methodologies (Scrum, Kanban).
• Strong problem solving and analytical skills, combined with impeccable business judgement.
• Interpersonal and communication skills, active listening, consulting, challenging, presentation skills.
• Ability to explain complex solutions to various stakeholders.
• Fluent in English, both written & spoken, intercultural awareness and willingness to travel.

• Lead the technical implementation of state-of-the-art cloud native data analytics & AI applications such as advanced data visualization tools, data and/or AI-heavy business process applications for forecasting, data maintenance applications, AI chatbots.
• Work closely with data scientists, AI-engineers, full stack application developers, data architects, dev/ops engineers and product managers to define project scope and deliverables.
• Assess and translate functional and non-functional requirements into technical concepts in alignment with business objectives and user needs considering robustness, scalability, re-usability, cost efficiency, performance, security & data privacy requirements.
• Assess, recommend and lead the creation of reusable components and tools to meet the requirements of assigned projects (e.g. UI components, authentication handler, handling database connections).
• Partner with data scientists and AI-engineers to assess frameworks and tools (e.g. vector databases, LLM integration frameworks).
• Stay updated with the latest trends and advancements in application engineering.
• Collaborate closely with the cloud platform team to continuously enhance the technology stack of the global cloud-based data, analytics and AI platform.
• Support prototypes and proof-of-concept applications with architecture concepts and validate design concepts and technologies.
• Produce comprehensive documentation, including architectural diagrams, design specifications, and user manuals.
• Together with the product owner steer application developers, guide them as architects, provide cost and time estimations, challenge vendor costs, assure quality delivery and proper handover to support.