Drive AI Innovation at Tieto Banktech

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