AI Engineer

Job Description

We are looking for a AI engineer to join our KYC Case team in Front & Advisory in Tieto Banktech. Tieto Banktech powers some of the Nordics’ most trusted banking systems with secure, reliable, and scalable solutions. Using automation, data, AI, and cloud, supported by hands-on guidance, we help banks modernize their core, strengthen trust, and deliver greater impact across the banking experience. 

This is a hands-on engineering role with a strong backend focus. You will help us design, build and operate cloud services, APIs and integrations behind our banking services. 

Tieto Banktech is on a strategic journey to embed artificial intelligence at the core of our products and engineering practices, and 80% of the total investments are AI-driven. You will work closely with backend engineers, designers and product managers to turn relevant AI opportunities into secure, reliable and valuable capabilities for banks and their customers. Our solutions will utilize in-house AI infrastructure built by our core AI team, which includes PhDs with backgrounds from Google, YouTube, and Microsoft. 

When joining Tieto Banktech as an AI Engineer you will 

• Work in a cross-functional autonomous team with ownership of a well-defined domain 

• Identify where AI can create real value in banking products and engineering practices 

• Shape practical patterns, architectures and best practices for secure and reliable AI-enabled solutions 

• Use AI-assisted workflows to understand, analyze and modernize existing technology 

• Help teams evaluate new tools and adopt AI-supported workflows across development, testing and operations 

• Take solutions from prototype to production, including architecture, integration, testing and operational readiness 

• Continuously improve solutions with a focus on quality, security, performance, reliability, observability and cost 

Who we are looking for 

• Software development: Minimum five years of experience developing and operating production software. 

• Data analysis and applied AI: Experience analyzing and interpreting data, identifying meaningful patterns and opportunities, and applying machine learning and AI technologies to create practical business value. 

• Backend engineering: Experience with object-oriented development, APIs, integrations and scalable service architectures. 

• CI/CD and operations: Experience with automated delivery, monitoring, observability and production troubleshooting.