Agentic AI Engineer: Build & Scale Production AI

Merck

Eysins

Vor Ort

CHF 110.000 - 150.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Merck in Switzerland seeks an Agentic AI Specialist to join our Digital Innovation & AI Enablement team. This role builds real AI systems that deliver measurable business value and move beyond experimentation to production.

You will design, prototype, deploy, and continuously improve AI solutions, aligning automation with business priorities while enforcing responsible AI and compliance standards. Collaboration with data scientists and process designers is essential.

Qualifikationen

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
  • 3+ years of hands-on AI/ML solution development, with at least 1–2 years on Agentic AI or LLMs.
  • Strong Python proficiency and production-grade AI architectures.

Aufgaben

  • Design, prototype, deploy, and improve Agentic AI solutions and orchestration frameworks.
  • Align automation pipelines with business priorities while ensuring responsible AI and compliance (GxP).
  • Partner with Data Scientists, process designers, and stakeholders to deliver scalable solutions.
  • Evaluate emerging AI technologies and contribute to internal AI Community of Practice.

Kenntnisse

Hands-on AI development
Python proficiency
English fluency
Strategic thinking
Collaborative communication
Curious mindset

Ausbildung

Bachelor's or Master's in CS/AI/Engineering

Tools

Agentic AI frameworks
Prompt engineering
AI orchestration
Cloud AI services

Jobbeschreibung

Merck in Switzerland seeks an Agentic AI Specialist to join our Digital Innovation & AI Enablement team. This role builds real AI systems that deliver measurable business value and move beyond experimentation to production.

You will design, prototype, deploy, and continuously improve AI solutions, aligning automation with business priorities while enforcing responsible AI and compliance standards. Collaboration with data scientists and process designers is essential.

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