Junior Forward Deployed Engineer - Artificial Intelligence

About the Role

You will join our AI Hub within the CEO Office – the team driving the bank’s AI transformation – and help build AI‑enabled solutions that create measurable impact across the organisation. Working side by side with experienced engineers and business stakeholders, you will design, build and ship AI‑powered agents and tools that go into real production use: from productivity tooling and operational workflows to Client Lifecycle Management, back‑office operations and run‑the‑bank processes.

As AI agents reshape how clients interact with financial services, you will contribute to solutions that touch the client experience directly – supporting relationship managers with AI‑augmented workflows, accelerating client onboarding and servicing, and helping shape how the bank engages with an emerging generation of AI‑native clients.

• Design, build and ship AI‑powered agents and tools for production use.
• Develop and deploy AI‑augmented workflows for relationship managers, client onboarding and servicing.
• Collaborate with business stakeholders to translate real problems into working solutions.
• Prototype quickly, iterate with users and deliver genuine value.

• Recent graduate or early‑career engineer with a degree in Computer Science, Data Science, Engineering or a related technical field, or equivalent hands‑on experience.
• Strong computer science fundamentals, including algorithms, data structures, software design and structured problem‑solving.
• Solid programming skills in Python and/or Java, with the ability to learn additional languages, frameworks and tools as needed.
• Experience in LLM‑based applications, agentic workflows and practical AI use cases.
• Careful engineering mindset, with a focus on clean code, testing, reliability, responsible data handling and user value.
• Genuine interest in understanding business problems, with the drive to translate stakeholder needs into working solutions.
• Clear communication style, with the ability to ask good questions and work effectively with technical and non‑technical stakeholders.

• Internship, thesis, project or early professional experience in AI, machine learning, LLM applications or data‑driven product development.
• Hands‑on exposure to LLM APIs, building agentic workflows, using MCP or similar tools.
• Exposure to APIs, microservices, containerization, cloud platforms or Dev Ops concepts.
• Experience with AI‑assisted development tools such as Claude Code, Codex, Cursor or similar, and an understanding of how to use them responsibly.
• Product thinking and a commercial mindset – an eye for where AI creates value for clients and the business.
• Interest in financial services, digital assets, regulated environments or secure software development.

Joining Sygnum means being part of a dynamic, global team that is building a trusted gateway between the traditional and digital asset economies.

• Attractive combination of market salaries and entrepreneurial incentive scheme.
• Professional development via Mentoring and Buddy programs.
• One‑month fully paid sabbatical after five years of continuous employment.