If Insurance Baltic

AI Engineer

• Help shape AI-powered experiences by enabling AI agents, APIs, MCPs, and Data Products
• Design and build scalable platform capabilities using modern AI technologies, APIs, and Data Products
• Improve how APIs, MCPs, and Data Products are discovered, understood, accessed, and used across If
• Help evolve Data Discovery & Experience and API Platform capabilities
• Work with Product Managers, Architects, Engineers, and business stakeholders to turn AI opportunities into practical solutions with measurable business impact
• Apply platform engineering and product thinking to solve real business problems
• Help ensure secure and seamless access through open standards
• Contribute to AI literacy and AI-enabled ways of working across the organization
• Collaborate with stakeholders across business and technology domains in agile teams and an agile Tribe

Data Engineer

• Build and lead a distributed team of data engineers across the Nordic countries and Latvia
• Support chapter members’ professional growth, engagement, and development
• Set standards for data ownership, quality, reliability, and delivery
• Foster a collaborative, supportive, and learning-oriented engineering culture
• Promote reusability, automation, testing, security, and scalable data products
• Contribute to solution development while coaching and mentoring engineers in Azure Databricks
• Enable engineers to architect, build, and operate cost-efficient, production-grade data products, pipelines, and lakehouse services
• Establish engineering practices for data quality, governance, CI/CD, Infrastructure as Code, and operational excellence
• Drive standardization, modular design, scalability, and cost efficiency across the Azure data platform
• Build engineering capabilities and communities of practice across teams and domains

AI Engineer

Data Engineering Lead, MarTech – Azure Databricks