AI Engineer

• Build and ship Android features using Kotlin.
• Create clean mobile flows for insurance, payments, claims, renewals and financial services.
• Work with product and design to simplify complex user journeys.
• Integrate backend APIs and ensure mobile flows are stable, secure and reliable.
• Improve app performance, crash rate, loading states, responsiveness and memory usage.
• Use analytics, user behaviour and production issues to improve the product.
• Build AI-assisted mobile experiences only where they genuinely improve the user journey.

Mobile Application Developer – AI Finance Agent

• Drive the AI Agenda: Identify, scope, and drive large-scale AI initiatives and strategic "bets" that transform how we handle claims across the Nordics.
• Pragmatic Implementation: Help set the strategy for democratizing AI internally by designing and deploying agile, low-code solutions and local agents to optimize daily workflows.
• Cross-Functional Collaboration: Act as the connective tissue between business units, data science teams, and IT to move AI concepts from ideation to production, including sustainable operations and maintenance.
• Guardrails & Best Practices: Ensure that AI tools and agents are implemented responsibly, securely, and in alignment with enterprise governance.

AI Adoption and Transformation Lead

• Help design, build, maintain and secure scalable AI services used across SEB
• Work close to real use cases from ideas and experimentation to production-ready services
• Navigate ambiguity and turn uncertainty into progress
• Contribute to a test-and-learn culture and deliver robust solutions to complex problems

• Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
• Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for the data engineering lifecycle.
• Collaborate: Work with the rest of the team to shape AI-driven product features, including the integration of agentic components with internal tools like Slack and alerting systems while engaging with internal data teams for dogfooding.
• Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
• Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

Staff AI Engineer

• Build customer-facing and internal product features end to end.
• Develop web flows, backend APIs, admin tools, dashboards and operational systems.
• Support products across insurance, payments, savings, investing, travel and financial services.
• Work with product, design, mobile and operations teams to launch fast.
• Integrate APIs, handle data flows and improve production reliability.
• Use analytics, feedback and production issues to improve features after launch.
• Help build tools that reduce manual work and improve speed across the business.

Full Stack Software Engineer – AI Neobank App

• Build AI agents, workflows, tools and automations that solve real customer, product and operations problems.
• Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows.
• Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling and product intelligence.
• Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
• Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
• Turn manual processes into reliable AI-enabled systems that can scale.

Applied AI Engineer

• Build AI-powered workflows, assistants, agents and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
• Work with product and engineering teams to turn manual processes into scalable AI-native systems.
• Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
• Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
• Prototype quickly, test with users or operators, then productionize what works.
• Improve speed, quality and consistency across workflows using AI where it creates real business value.

Applied AI Engineer – AI Neobank App

Mobile Developer – AI Neobank App

• Be accountable for the execution of the AI strategy in PAM, driving outcomes, adoption and continuous improvement
• Own the AI tool offering for PAM, ensuring the needs of the organisation are understood, documented and met with the right solutions
• Set goals and KPIs for AI usage and outcomes within PAM, tracking data on costs, adoption rates and productivity improvements
• Act as the primary point of contact for all AI-related questions and suggestions — both within PAM and across other Tech departments — driving common agendas and joint evaluations
• Build and enable a community of internal AI ambassadors and technical experts, fostering an AI-first culture that inspires, trains and supports all team members
• Run trials and assess new tools, maintaining market awareness and distinguishing between hype and realisable value
• Own a PAM catalogue of approved and recommended MCPs and Skills, keeping it current and relevant
• Safeguard AI tool usage in collaboration with Group Security, maintaining a healthy balance between productivity and security
• Organise Geek Sessions and other training initiatives to build AI capability across the department
• Collaborate cross-functionally with other Tech departments to share lessons learned and run joint efforts

PAM AI Lead

• Utveckla och produktionssätta AI- och ML-lösningar i enterprisemiljö end-to-end
• Ta ansvar för hela AI-livscykeln: från behov och lösningsdesign till drift och vidareutveckling
• Utvärdera, välja och kombinera verktyg, plattformar och tekniker utifrån situation och behov
• Arbeta med Microsoft Foundry (inkl. OpenAI, AI Services/Foundry Tools), Azure Databricks, OpenShift (Kubernetes) och DevOps-pipelines
• Samarbeta nära verksamheten för att identifiera rätt problem att lösa och säkerställa att lösningarna skapar affärsnytta i verksamheten

AI Engineer jobs in Sweden

See all jobs on JobTailor

Mobile Application Developer – AI Finance Agent

AI Adoption and Transformation Lead

AI Engineer

Staff AI Engineer

Full Stack Software Engineer – AI Neobank App

Applied AI Engineer

Applied AI Engineer – AI Neobank App

Mobile Developer – AI Neobank App

PAM AI Lead

AI Engineer