AI Enablement
As Upvest's first dedicated Applied AI hire, you won't be joining a function: you'll be building one. You'll identify where AI creates the most leverage across the business, help select and integrate the right tooling, and ship solutions that teams actually use. This is a hands-on senior individual contributor role with direct impact on how 290+ people work every day. You will connect AI tools to Upvest's internal systems, integrating Claude and other LLMs with internal tools, APIs, and data sources via the Model Context Protocol (MCP), building lightweight integrations where needed. You'll identify high-impact automation opportunities, build end-to-end workflows using tools like n8n, and make pragmatic calls about when a simple automation beats a complex agent. You'll also act as an in-house AI consultant, working 1:1 with colleagues across engineering, operations, and client-facing teams to help them rethink how they work with AI. You'll run discovery sessions, write internal playbooks, and coach colleagues on prompt engineering and AI tooling, all while navigating the data privacy, compliance, and audit requirements of a BaFin and FCA regulated firm.
Responsibilities
- Identify where AI creates the most leverage across the business
- Select and integrate the right AI tooling
- Connect AI tools to internal systems, APIs, and data sources via Model Context Protocol (MCP)
- Build lightweight integrations and expand connectivity as use cases grow
- Identify high-impact automation opportunities
- Build end-to-end workflows using tools like n8n
- Decide when a simple automation beats a complex agent
- Work 1:1 with colleagues across the business to optimise how they work with AI
- Run discovery sessions
- Write internal playbooks
- Coach colleagues on prompt engineering and AI tooling
- Navigate data privacy, compliance, and audit requirements
Requirements
- Hands-on experience shipping AI agents and building end-to-end automations with tools like n8n
- Experience building or working with MCP servers and connecting LLMs to internal tools, APIs and data sources
- Experience upskilling non-technical teams on AI tooling and driving adoption
- Ability to define ROI, iterate, and ship without over-engineering
- Ability to connect technical work to business outcomes
- Ability to run discovery sessions and present to senior non-technical audiences
- Experience in fintech or a closely adjacent regulated field
- 5+ years in a scale-up in roles such as solutions engineer, technical consultant, AI product engineer, or similar
- Based in Berlin
- English required; German a plus
Benefits
- €20,000 per year to spend on AI tools
- €1,500 annual budget for professional development
- 30 days of annual leave
- Sports benefits
- Confidential professional coaching
- Ability to work remotely abroad for up to 183 days a year
- Employee equity program
- Company-wide events such as UpFest, dinners, offsites and holiday party