Senior Data Scientist/AI Engineer – Generative AI
EXO ARNVIND is collaborating with a pioneering financial technology leader in Sweden to identify their next Senior Data Scientist/AI Engineer specialising in Generative AI. Our client is shaping the future of AI-driven solutions in the financial sector, where cutting-edge technology meets real-world impact. This is a rare chance to join a high-caliber team, work on transformative generative AI projects, and influence how AI is deployed at scale in a regulated, high-stakes environment. If you are passionate about building production-grade AI systems and want to work where innovation meets execution, this role is for you.
The Opportunity
As a Senior Data Scientist/AI Engineer focused on Generative AI, you will play a pivotal role in designing, developing, and deploying AI applications that redefine how AI is leveraged in financial services. You will collaborate with a talented, multidisciplinary team to create robust, scalable, and compliant AI solutions. This position offers the opportunity to work on high-impact projects, mentor colleagues, and establish best practices in generative AI—all while operating in a dynamic, forward-thinking organisation.
Key Responsibilities
- Design, build, deploy, and monitor production-ready AI applications that deliver measurable business value.
- Develop and implement evaluation frameworks to ensure the quality, reliability, and performance of AI models.
- Create and refine tooling, architecture, and best practices for generative AI, setting the standard for the team and organisation.
- Document AI models, processes, and workflows to meet regulatory and compliance requirements.
- Identify and prototype innovative generative AI use cases, turning ideas into tangible solutions.
- Provide guidance, support, and mentorship to teammates, fostering a culture of collaboration and continuous learning.
What You Bring
- A Master’s degree or PhD in a relevant field such as Computer Science, Data Science, Machine Learning, or Artificial Intelligence.
- Proven expertise in generative AI, large language models (LLMs), and retrieval-augmented generation (RAG).
- Strong proficiency in Python and hands-on experience with deep learning frameworks and LLM APIs.
- Experience designing and implementing agentic systems, structured testing, and model evaluation methodologies.
- A solid background in machine learning, experimentation, and systems design.
- Ability to work in a regulated environment, with a focus on compliance, risk management, and documentation.
- Excellent problem-solving skills and a proactive mindset, with the ability to thrive in a fast-paced, innovative setting.
Nice-to-Haves
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed systems.
- Familiarity with MLOps practices and tools for model deployment and monitoring.
- Prior work in the financial services or fintech sector, particularly in areas requiring compliance and risk awareness.
Why Join?
- Impact: Work on high-visibility projects that shape the future of AI in financial services, with the opportunity to see your work deployed at scale.
- Growth: Access to career development opportunities, including mentorship, training, and the chance to lead initiatives in generative AI.
- Team: Collaborate with a diverse, high-performing team of AI engineers, data scientists, and technologists who are passionate about innovation.
- Culture: Enjoy a hybrid working model that balances flexibility with collaboration, along with a commitment to diversity, inclusion, and work-life balance.
- Tech Stack: Work with cutting-edge tools and technologies, including generative AI, LLMs, RAG, and agentic systems, in a modern, cloud-enabled environment.
Location
This role is based in Stockholm, Sweden, with a hybrid working arrangement that allows for flexibility between remote and office work.
Ready to Make an Impact?
If this opportunity excites you, apply now and let us take it from here.