AI Engineer - Tieto Banktech (m/f/d)
Tietoevry is hiring an AI Engineer - Tieto Banktech (m/f/d). Level rates it ; you can apply on Tietoevry.
Level's read on this job
- On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions prompt engineering, RAG and AI agents among its tools and skills.
- Tietoevry has 396 other open roles on Level.
AI in this role
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.
Security and privacy: Experience with secure data handling and the responsible use of AI in regulated environments.
You are a collaborative and pragmatic engineer who takes ownership and enjoys solving complex problems. You are comfortable working across disciplines and can connect technical decisions with customer value, security, privacy and regulatory expectations in banking.
It is a bonus if you have experience with
Java and Spring or Spring Boot
Databases (Oracle)
OpenShift or Kubernetes, Git, GitHub Actions and Grafana
Experience with design, development and maintenance of backend services, APIs and integrations
Large language model integration, context and prompt design, and evaluation of AI outputs
Retrieval-augmented generation, embeddings, vector databases or related retrieval patterns
Agentic workflows, function calling or AI orchestration frameworks
We offer
We offer professional growth, meaningful projects, an open culture and an outstanding work-life balance. You will have the opportunity to help shape how AI is used in our banking solutions and software engineering while working with skilled colleagues. We provide a flexible hybrid work model and believe in curiosity, knowledge sharing and continuous learning.
Did we get you inspired?
We look forward to your application! Interviews will be held continuously, so we encourage you to apply today. For more information or questions, please contact the Talent Acquisition team at recruitmentinbanking@tieto.com.
Hope to hear from you soon!
Location: Oslo
We perform background checks on all final candidates.
Tieto declines calls from recruitment companies.
At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion | Sustainability | Tieto
Stay alert to recruitment scams:
• Tieto only communicates via @tieto.com email addresses.
• We never ask candidates to pay fees or share financial details during recruitment.
• If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
• For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog
How we rate this
AI Engineer - Tieto Banktech (m/f/d) at Tietoevry rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, and AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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