Senior Machine Learning / AI Solutions Engineer (m/w/d)

Join the team rewriting the rules in private markets.

Moonfare delivers what few others can: the highly sought-after funds and hidden-gem investments that go beyond what most private banks offer. Every opportunity is subjected to a ruthless vetting process; the bar is unforgivingly high. The result? Institutional-quality portfolios for investors who demand more.

Our team combines finance veterans with talent from tech, consulting, law and industries you’d never expect. Headquartered in Berlin, we operate from eight offices across Europe, the US and Asia.

If you're ready to build what's next in private markets, let's talk.

Senior ML / AI Solutions Engineer (m/w/d)

Moonfare is hiring a Machine Learning / AI Solutions Engineer to bridge the gap between business needs and AI capabilities, focusing on leveraging existing tools and platforms to deliver intelligent automation and AI-native experiences. You will partner closely with business stakeholders, product, and engineering teams to identify high-impact operational problems, design end-to-end AI solutions using vendor tools and agentic workflows, and establish the governance framework for AI adoption across the organisation.

This is a high-impact role focused on strategic solution design, tool standardisation, and business enablement, helping Moonfare transition into an AI-augmented fintech platform.

You Will:

• Serve as Moonfare's internal AI subject matter expert, staying current with emerging AI trends, tools, and capabilities to advise leadership on opportunities.
• Act as the primary liaison between business units and technical teams, translating complex operational challenges into actionable AI solution requirements.
• Design and implement end-to-end AI solutions and agentic workflows using low-code/no-code platforms and vendor tools (e.g., AWS Bedrock, Camunda, n8n, Vercel v0, REALM), focusing on rapid prototyping and deployment.
• Understand data requirements for AI solutions and work with data teams to ensure data readiness and quality for successful implementation.
• Evaluate, select, and integrate commercial and cloud-native AI services (e.g., AWS Bedrock, OpenAI, Anthropic) to maximise business value and efficiency.
• Establish and maintain the company-wide AI Tooling Governance framework, defining approved use cases and standardised tools to prevent tool sprawl and ensure compliance.
• Educate and communicate the potential, limitations, and mechanics of LLMs and AI technologies to non-technical stakeholders in clear, business-focused language.
• Guide architectural decisions related to prompt orchestration, workflow management, and solution deployment, ensuring scalability and cost-effectiveness.
• Work closely with Security and Compliance teams to ensure the secure, ethical, and compliant use of generative AI solutions in a regulated environment.
• Drive solution performance evaluation and tracking (e.g., quality, cost, and business impact/ROI).

The Next Moonfarian:

• Bachelor's degree in Computer Science, Engineering, Business, or related field; or equivalent practical experience.
• 5+ years of experience in technology or solutions architecture roles, with 2+ years focused on designing and implementing AI/LLM-based solutions.
• Deep theoretical understanding of how LLMs work, RAG architectures, and agentic workflows, and how they apply to business automation.
• Proven experience evaluating, selecting, and implementing vendor-based AI solutions and workflow orchestration tools (e.g., AWS Bedrock, Camunda, n8n, Vercel v0, REALM, or similar low-code/no-code platforms).
• Exceptional communication skills with the ability to articulate complex technical concepts (AI/LLMs) to executive and non-technical audiences.
• Demonstrated ability to identify, scope, and prioritise business problems suitable for AI intervention, focusing on measurable ROI.
• Strong familiarity with AI risk, safety, and governance frameworks, and experience establishing tooling standards in a corporate environment.
• Excited by the challenge of transforming our expert human judgment using AI-assisted systems.
• Familiarity with AI risk, safety, and governance frameworks - especially in regulated industries highly desirable.

If you feel you do not meet all of the requirements, we still encourage you to apply!

Our Values:

• Our clients come first, Moonfare comes second, and we prioritise ourselves third - Client-Centric Focus. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests.
• We pursue excellence and honor our promises - Commitment to Excellence. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them and we learn from our mistakes.
• We are here to win and to celebrate our collective achievements - Win together. We are mission-focused and think and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed.
• We foster personal growth but each of us earns our place as a Moonfarian through merit - Growth and Merit. We hire, retain, and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day.

We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We’re committed to developing an inclusive and safe culture where everyone — regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity — knows that they are an integral part of the team and can bring their full potential to their work.

*Minimum investments vary according to jurisdiction.

Apply now!