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.
Задачи
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
Требования
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
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
We perform background checks on all final candidates
Tieto declines calls from recruitment companies
Условия
Competitive compensation and flexible hybrid working arrangements
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Появилась в Вакандии27 дней
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