Senior AI Solution Architect

Jobtailor

Deutschland

Remote

EUR 110.000 - 170.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Jobtailor seeks a senior AI/ML solutions architect in Germany to drive enterprise data projects. You will translate business problems into technical approaches, develop rapid prototypes, and collaborate across marketplace, product, and commercial teams.

You will mentor teammates, manage concurrent initiatives, measure impact, and help scale production-ready solutions with strong stakeholder engagement and a focus on real business outcomes.

Qualifikationen

  • Bachelor’s degree in CS/Engineering/Data Science or equivalent.
  • 10+ years of software engineering or technical solution development experience.
  • Experience deploying AI/ML/automation in enterprise settings.
  • Experience prototyping with Python, Java, or similar.
  • Translate business requirements into technical solutions with stakeholders.
  • Deliver solutions from concept through prototype validation.
  • Integrate or work with structured and unstructured data sources.
  • Manage multiple complex projects concurrently.
  • Strong problem-framing and critical-thinking skills.
  • Connect technical solutions to clear business outcomes.
  • Engage effectively with technical and non-technical audiences.

Aufgaben

  • Embed within marketplace, product, and commercial teams to map workflows.
  • Identify and prioritize AI and automation opportunities.
  • Translate ambiguous business problems into structured approaches and build plans.
  • Develop and deploy rapid prototypes using internal platforms and AI/ML tooling.
  • Validate solutions with real-world data and workflows.
  • Partner with Technology and Data/AI teams to productionize prototypes.
  • Bridge business stakeholders and technical teams.
  • Drive adoption through rollout, iteration, and performance measurement.
  • Establish and track metrics tied to efficiency gains, cost reduction, revenue impact, and user adoption.
  • Contribute learnings to enterprise platforms.
  • Lead or coordinate multiple high-impact initiatives.
  • Mentor less experienced team members.

Kenntnisse

AI/ML Solutions
Python/Java Proficiency
Project Management
Stakeholder Engagement
Business Requirements Translation

Ausbildung

Bachelor’s Degree In Computer Science
Bachelor’s Degree In Engineering
Bachelor’s Degree In Data Science

Tools

Enterprise Data Platforms
LLM Tooling
Modern Programming Languages

Jobbeschreibung

  • Embed within Marketplace operations, product, and commercial teams to understand workflows, undocumented processes, edge cases, and operational nuances
  • Identify, define, and prioritize AI and automation opportunities
  • Translate ambiguous business problems into structured technical approaches, solution hypotheses, and build plans
  • Develop and deploy rapid prototypes or proof of concepts using internal platforms, enterprise data, and modern AI/ML and large language model tooling
  • Validate solutions using real-world data and workflows
  • Partner with Technology and Data/AI teams to transition validated prototypes into scalable, production-ready solutions
  • Bridge business stakeholders and technical teams
  • Drive adoption through rollout, iteration, and performance measurement
  • Establish and track success metrics tied to efficiency gains, cost reduction, revenue impact, and user adoption
  • Contribute reusable learnings, frameworks, and enhancements to enterprise platforms
  • Lead or coordinate multiple concurrent, high-impact initiatives
  • Mentor less experienced team members and contribute to capability building
Requirements
  • Bachelor’s degree in Computer Science, Engineering, Data Science, a related technical field, or equivalent work experience
  • 10+ years of overall experience in software engineering or technical solution development
  • Experience building and deploying AI, machine learning, automation, or data-driven solutions in a business or enterprise environment
  • Experience writing code and delivering working prototypes using modern programming languages such as Python, Java, or similar
  • Experience translating business requirements into technical solutions in partnership with business stakeholders
  • Experience delivering solutions from concept through prototype validation
  • Experience integrating or working with structured and unstructured data sources
  • Experience managing multiple complex projects or initiatives simultaneously
  • Strong problem-framing and critical-thinking skills
  • Ability to connect technical solutions to clear business outcomes
  • Effective stakeholder engagement across technical and non-technical audiences
  • Adaptability in rapidly evolving technology and business environments
  • Ability to influence without direct authority
  • Clear, concise communication skills across all organizational levels, including senior leadership
  • Business acumen and judgment to balance value, feasibility, scalability, and adoption
Core Competencies

Demonstrates expertise in developing and deploying AI and machine learning solutions, translating business requirements into technical approaches, and managing complex projects. Strong ability to bridge business and technical teams while driving adoption and measuring success metrics.

Highest-signal resume keywords
  • AI And Machine Learning Solutions
  • Python Programming
  • Project Management
  • Stakeholder Engagement
  • Business Requirements Translation
Hard Skills
  • Software Engineering
  • Technical Solution Development
  • Prototype Development
  • Data Integration
  • Automation Solutions
Soft Skills
  • Problem-Framing
  • Critical Thinking
  • Clear Communication
  • Adaptability
  • Influencing Without Authority
Certifications & Qualifications
  • Bachelor’s Degree In Computer Science
  • Bachelor’s Degree In Engineering
  • Bachelor’s Degree In Data Science
Industry Keywords
  • Business Outcomes
  • Efficiency Gains
  • Cost Reduction
  • Revenue Impact
  • User Adoption
Tools & Technologies
  • Enterprise Data Platforms
  • Large Language Model Tooling
  • Modern Programming Languages
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