AI Engineer – Trondheim, Norway (Hybrid) | Visa + Salary Insights

📍 Location: Others

🏷 Type: Full-time

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Job Overview

Tieto Banktech is hiring an AI Engineer to help drive enterprise-scale artificial intelligence adoption across its banking technology portfolio in Norway. This role combines deep technical implementation with strategic leadership, making it ideal for a Senior-Level professional (5+ years) who can bridge engineering, compliance, and business stakeholders. The successful candidate will build production-grade AI systems, support multiple product teams, establish AI governance practices, and help shape the future of AI-powered banking products used by financial institutions across Norway.

📅 Job Timeline & Status

This position appears to be in an early-to-mid hiring cycle as the company is actively expanding its AI capabilities across multiple business units. Because AI engineering talent with banking expertise is highly sought after, applicants should consider this a high-urgency opportunity. The role supports a strategic transformation initiative, suggesting hiring managers may prioritize qualified candidates quickly. Applying immediately is recommended due to the combination of AI specialization, financial services relevance, and limited availability of similar roles in the Nordic banking sector.

The primary focus is enterprise Artificial Intelligence Engineering within the Banking Technology domain. This is a Senior-Level position requiring both technical leadership and production AI delivery experience.

🌍 Work Eligibility & Location

The role operates under a Hybrid working model based in Trondheim, Norway. While the company has not confirmed visa sponsorship, international applicants with relevant work authorization may still be competitive. The position offers flexibility while maintaining close collaboration with engineering, product, and banking stakeholders. Candidates interested in Nordic fintech, AI infrastructure, and regulated environments may find this particularly attractive.

💰 Salary Intelligence

Although no official compensation has been published, comparable Nordic fintech and AI engineering positions suggest an estimated annual salary of NOK 900,000–1,350,000+. Given the combination of enterprise AI, banking infrastructure, leadership responsibilities, and production deployment experience required, this compensation range is likely competitive within the Norwegian technology market. Candidates with strong LLM deployment and organizational AI transformation experience may command compensation toward the upper end of the range.

📊 Role Breakdown

This role blends approximately 40% hands-on AI engineering, 25% AI architecture and platform design, 20% stakeholder collaboration, and 15% governance and strategic leadership. The engineer will work extensively with LLMs, RAG pipelines, agent frameworks, vector databases, and cloud-native deployment environments. Daily responsibilities include designing production AI systems, evaluating model performance, optimizing prompts and retrieval strategies, and integrating AI capabilities into banking products. The position also involves helping multidisciplinary teams move from experimentation to production while maintaining compliance with financial-sector regulations. Candidates should be comfortable working with technologies such as OpenAI, Anthropic, LangGraph, Docker, Kubernetes, Python, Java, and major cloud platforms. Beyond coding, success requires the ability to influence technical direction, establish reusable AI standards, and help scale AI adoption across multiple business units within a highly regulated environment.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty opportunity targeting experienced AI professionals. Candidates are expected to demonstrate 5+ years of engineering expertise alongside modern AI deployment experience. Competition will likely be strongest among professionals with production LLM implementations, MLOps knowledge, cloud-native architecture experience, and financial-sector exposure. The combination of strategic influence and hands-on delivery increases the hiring bar significantly.

🚀 Career Impact

This position offers strong long-term career value through exposure to large-scale financial infrastructure and enterprise AI transformation. Successful candidates can build experience in AI leadership, regulated AI deployment, enterprise architecture, and cross-functional strategy. These capabilities can significantly strengthen future opportunities in fintech, AI platform engineering, principal engineering, and AI program leadership positions.

📋 Key Responsibilities

Key responsibilities include identifying high-value AI use cases, building AI-powered product capabilities, and guiding teams through the full lifecycle from prototype to production. The engineer will design architectures, implement solutions using LLMs, RAG systems, and agent frameworks, while ensuring reliability and regulatory compliance. Additional duties include optimizing deployed AI systems for cost and performance, monitoring production workloads, supporting sales and bid teams with AI-related responses, and creating reusable AI components. The role also requires active participation in internal knowledge-sharing initiatives and the development of organizational AI best practices.

🎯 Application Strategy

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📅 Application Signals

Current hiring indicators suggest strong organizational investment in AI transformation. Expect high competition from both Nordic and international candidates due to growing demand for enterprise AI specialists. The role demonstrates strong application urgency because it supports a strategic initiative rather than a routine replacement hire. Interview processes for senior AI positions commonly move within several weeks. Applications may close without notice. Candidates with banking and production AI experience should apply as early as possible.

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✅ Job Source & Verification

This job information was compiled from the employer’s published vacancy announcement and supporting company details. The opportunity has been reviewed for consistency and role alignment with current AI engineering market standards. Source credibility: High, as the position originates directly from the employer. Last updated: June 16, 2026. Applicants should verify final application requirements and hiring timelines directly with the employer before submitting an application.