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MOMoonfare

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

Berlin
VollzeitVor OrtSenior
AI/ML

Design and implement end-to-end systems with low-code/no-code platforms for private market investment portfolios. 5+ years in tech/solutions architecture with 2+ years in large language model solutions, deep RAG/agentic workflows understanding required. Strategic AI expert role, advising leadership.

Anforderungen

  • 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 LLMs, RAG architectures, and agentic workflows
  • Proven experience evaluating, selecting, and implementing vendor-based AI solutions and workflow orchestration tools
  • Exceptional communication skills to articulate complex technical concepts to diverse audiences
  • Ability to identify, scope, and prioritise business problems suitable for AI intervention
  • Strong familiarity with AI risk, safety, and governance frameworks
  • Excitement for transforming expert human judgment using AI-assisted systems
  • Familiarity with AI risk, safety, and governance frameworks in regulated industries highly desirable
  • Encouragement to apply even if not meeting all requirements

Aufgaben

  • Serve as the internal AI subject matter expert
  • Advise leadership on emerging AI trends and opportunities
  • Act as the liaison between business units and technical teams
  • Translate operational challenges into actionable AI solution requirements
  • Design and implement end-to-end AI solutions using low-code/no-code platforms
  • Focus on rapid prototyping and deployment of AI workflows
  • Understand data requirements for AI solutions
  • Collaborate with data teams to ensure data readiness and quality
  • Evaluate and integrate commercial and cloud-native AI services
  • Maximize business value and efficiency through AI tools
  • Establish and maintain the AI Tooling Governance framework
  • Define approved use cases and standardized tools
  • Educate non-technical stakeholders on LLMs and AI technologies
  • Guide architectural decisions for prompt orchestration and workflow management
  • Ensure scalability and cost-effectiveness of solutions
  • Work with Security and Compliance teams for ethical AI use
  • Drive solution performance evaluation and tracking

Berufserfahrung

  • 5 Jahre

Ausbildung

  • Bachelor-Abschluss

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • AWS Bedrock
  • Camunda
  • n8n
  • Vercel v0
  • REALM
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