About the role
Tieto Banktech is on a strategic journey to embed artificial intelligence at the core of our products. We're looking for someone who can drive this from both ends — hands-on implementation and cross-functional leadership — ensuring our AI initiatives deliver real business value while meeting the regulatory and organizational requirements of the banking sector.
You'll work across autonomous, multidisciplinary product teams, helping them identify high-impact use cases, build AI-powered features, and adopt modern AI tools and ways of working. Over time, you'll also play a key role in shaping our AI strategy, defining governance practices, and driving reuse of AI capabilities across the organization.
What you'll work on
- Identify and evaluate AI use cases across products and internal processes
- Support teams through the full journey from prototype to production — including architecture, model selection, prompt design, and integration patterns
- Develop and integrate AI solutions directly into existing products and workflows
- Continuously optimize deployed AI solutions for performance, cost, reliability, and quality
- Provide guidance on data usage, regulatory considerations, and responsible AI practices in a banking context
- Drive reuse of AI components and patterns across the organization
- Support Sales and Bid teams in RFP responses related to AI capabilities
- Build internal AI communities and promote knowledge sharing across teams
Who we're looking for
You have a strong engineering background and a genuine passion for AI — not just as a concept, but as something that lives and delivers value in production. You're comfortable moving between hands-on implementation and strategic discussions, and you thrive working across multiple teams and problem areas simultaneously.
You likely have experience with some of the following:
- Hands-on development of AI systems, including LLM integration, context and prompt design, and orchestration using modern SDKs and agent frameworks (e.g. OpenAI, Anthropic, Microsoft Agent Framework, LangGraph)
- Prompt and context optimization, including evaluation-driven development, LLM-based evals (LLM-as-judge), and automated optimization techniques (e.g. DSPy, GEPA)
- RAG pipelines, including embeddings, vector databases, and hybrid retrieval
- Agentic workflows and tool use, including function calling and multi-step reasoning
- ML/LLM deployment, inference, and monitoring, including high-performance serving (e.g. vLLM, SGLang, TensorRT-LLM) and LLMOps/MLOps
- REST APIs, containerization (Docker/Kubernetes), and CI/CD practices
- Cloud platforms (Azure, AWS, or GCP)
- Python and/or JVM languages (Java/Kotlin)
Beyond the technical skills, you're able to bridge technical, business, and compliance perspectives — and you have the communication and stakeholder management skills to bring teams along with you. Experience driving cross-team initiatives or organizational change is a plus.
Why Tieto Banktech?
- A real mandate to drive AI adoption across a large, complex product portfolio
- Work on solutions that matter — critical infrastructure used daily by banks, businesses, and individuals across Norway
- High degree of autonomy and influence over technical direction
- A strong engineering culture with a flat hierarchy and a collaborative mindset
- Competitive compensation and flexible hybrid working arrangements
Tieto Banktech is the backbone of financial services in Norway. Our Banking-as-a-Platform (BaaP) delivers core banking, lending, payments, data & insights, and financial crime compliance — all modular, API-based, and delivered as SaaS to Norwegian banks.
Additional Information
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 (tietoevry.com)
Skills Required
- Hands-on development of AI systems including LLM integration
- Experience with ML/LLM deployment and monitoring
- Knowledge of cloud platforms such as Azure, AWS, or GCP
- Proficiency in Python and/or JVM languages
- Experience with containerization (Docker/Kubernetes) and CI/CD practices
What We Do
In a rapidly changing world, technology is everything. It's in the fabric of society. In every part of every business. At the very heart of human evolution. It’s a great power that comes with great responsibility. At Tietoevry, we believe it’s time to shift perspective. It’s not about what technology can do anymore — but what it should. So that the futures of businesses, societies, and humanity can live and thrive. Side by side. This is why we're making it our business to create purposeful technology that reinvents the world for good. https://www.tietoevry.com/en/ #purposefultechnology #Tietoevry
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