Victor Jansson
Technology Leader | Scaling Enterprise AI & Cloud Platforms
My core focus is on leading the AI strategy and the people required to build impactful AI products for businesses across the UK and Europe. Working at the convergence of engineering, product, and design, I specialize in architecting and delivering intelligent SaaS solutions by applying technologies like Generative AI, Large Language Models (LLMs), and distributed systems to solve practical business problems.
Currently working as Manager, Solutions Architecture - Startups UK & Ireland at Amazon Web Services (AWS), where I help startups leverage AI and cloud technologies to scale their businesses.
AI Technology Leadership FAQ
What are the key AI technologies for startups in 2025?
The key AI technologies for startups in 2025 include Large Language Models (LLMs), Generative AI for content and code, Computer Vision systems, Reinforcement Learning from Human Feedback (RLHF), and AI-powered analytics. Startups should focus on implementing these technologies with practical use cases that deliver measurable business value rather than adopting AI for its own sake.
How can CTOs implement Generative AI in their organization?
CTOs can implement Generative AI by first identifying specific business problems where it adds value, then selecting the right models (proprietary or open-source), ensuring proper data governance, building a skilled team, creating a robust infrastructure, and implementing continuous monitoring. Start with pilot projects to demonstrate value before scaling across the organization.
What are the best practices for AI adoption in European startups?
Best practices for AI adoption in European startups include ensuring GDPR compliance from the start, focusing on ethical AI development, building diverse AI teams, leveraging EU funding opportunities, establishing clear data governance policies, and collaborating with local AI research institutions. European startups should also consider the specific regulatory requirements in different EU markets.
How can companies optimize cloud costs for AI workloads?
Companies can optimize cloud costs for AI workloads by right-sizing compute resources, using spot instances for training jobs, implementing auto-scaling, leveraging serverless architectures where appropriate, optimizing data storage and transfer, using cost management tools, and considering specialized AI hardware like GPUs only when necessary. Regular cost reviews and establishing FinOps practices are also essential.
What skills should CTOs develop to lead AI initiatives in London, Stockholm, and Copenhagen?
CTOs leading AI initiatives in London, Stockholm, and Copenhagen should develop technical skills in machine learning and data architecture, business acumen to align AI with business goals, regulatory knowledge specific to UK and EU markets, talent management abilities to build diverse teams, ethical AI governance expertise, and strong communication skills to translate complex AI concepts for stakeholders and navigate the unique tech ecosystems in these cities.
Speaking
I'm available for conferences, meetups, and corporate events. I love sharing insights on AI technology leadership, startup scaling, and practical applications of generative AI.
AWS Community Adria
Join me at the AWS Community Adria event where I'll be sharing insights on AI technology leadership and practical applications of Generative AI in modern startups.
Learn more about the event