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Job ID: 4043 Welcome to Group Technology, where we pride ourselves on engineering solutions that directly impact Nordea's 2030 goals to modernize data technology and accelerate AI. We’re seeking a Technical AI Safety Specialist to build deep, hands-on technical expertise in the engineering-heavy risk areas that come with scaling AI and agentic systems across topics like AI gateway architecture, MCP servers and agentic tooling, red-teaming methodology, evaluation frameworks, and the cybersecurity implications of new AI capabilities. You’ll partner closely with engineering, architecture, and information security teams to turn that technical understanding into pragmatic governance guidance, technical risk assessments, and internal white papers. This role sits within the AI Safety team, which brings together architectural governance, AI risk operations and advisory capabilities to enable safe, trusted and compliant AI across Nordea. As AI and agentic systems become more complex, the team needs stronger technical expertise to understand how these systems are designed, secured, evaluated and operated, and to translate that understanding into practical guardrails, risk assessments and guidance. Nordea is a place where traditions meet tomorrow. We're not just a bank; we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people's daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.  This position is a full-time, permanent role with hybrid working location based in Helsinki, Finland, Copenhagen, Denmark, or Stockholm, Sweden. About our team  Meet the AI Safety team, part of AI Portfolio Delivery within Group AI, responsible for enabling safe, trusted and compliant AI across Nordea through efficient, scalable and holistic risk governance. AI and agentic systems are moving fast, and so is our remit. We’re building deeper technical capability so that our governance keeps pace with new architectures, tooling, and emerging risks, helping to streamline AI deployment and maintenance while ensuring effective risk management and regulatory adherence. Our culture emphasizes collaboration, continuous learning, and innovation in an open environment where diverse ideas thrive. We support each other's growth while pushing technology boundaries, prioritizing work-life balance, and open communication.  What you will be doing: Build and maintain deep technical knowledge of engineering-heavy AI risk areas, including AI gateways (e.g. Kong), MCP servers and agentic tooling, evaluation frameworks, and red-teaming methodology Partner with engineering, platform, and cybersecurity teams to understand how AI and agentic systems are built and operated, and translate that understanding into governance guidance Track emerging AI developments and assess the technical and security implications of new capabilities, protocols, and attack surfaces Author technical white papers, position papers, and risk assessments on AI infrastructure and emergent risk topics, written for both technical and non-technical audiences Contribute technical input to governance frameworks, evaluation criteria, and technical controls for AI systems, without owning their day-to-day implementation Engage with senior technical stakeholders across the organisation to pressure-test governance approaches against real engineering constraints Act as a technical peer to engineering and cybersecurity teams in cross-functional discussions on AI security protocols and technical controls Help shape what technical AI safety expertise should look like as the team’s scope and remit continue to evolve Translate deep technical understanding into governance positions, RACI, and decision processes that first- and second-line stakeholders can act on Who you are  You have a technical/engineering backgroun