Associate Principal Ai Solutions Architect - Evinova

Evinova

Barcelona, Spain
3 days onsite / 2 days remote
Agentic-ai expertise
Llm development
Python rapid prototyping
Evinova is seeking an Associate Principal AI Solutions Architect to drive AI solutions in the pharmaceutical industry, leveraging advanced algorithms and Generative AI to improve clinical trial success and optimize drug development. The role requires a blend of technical expertise in AI and strong client engagement skills, with a focus on translating complex challenges into actionable strategies

Job Summary

  • Evinova aims to boost clinical trial success by 20%, cut development time by 3 years, and halve study costs using advanced algorithms and GenAI.
  • The role involves acting as a forward-deployed technical leader, translating complex pharma business challenges into actionable, high-ROI AI roadmaps and technical architectures.
  • You will build AI prototypes and support early versions of AI solutions to validate approaches before full system development.

Matching Summary

Match Score: 85

Evinova is seeking an Associate Principal AI Solutions Architect to drive AI solutions in the pharmaceutical industry, leveraging advanced algorithms and Generative AI to improve clinical trial success and optimize drug development. The role requires a blend of technical expertise in AI and strong client engagement skills, with a focus on translating complex challenges into actionable strategies.

Skills & Requirements

Must-have

  • Agentic-AI expertise
  • LLM development
  • Python rapid prototyping
  • Client-facing AI consulting
  • Translate business challenges to AI roadmaps
  • Advanced prompt-engineering

Nice-to-have

  • Deep understanding of Life Sciences
  • Collaborate in multidisciplinary environment
  • Harnessing industry-leading skills
  • Building inclusive and diverse teams

Key Requirements

  • Associate Principal AI Solutions Architect or Principal AI Solutions Architect
  • Proven track record of acting as a trusted advisor
  • Experience presenting to executive leadership
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch, HuggingFace)
  • Proficient with Cursor, Claude Code, or similar tools

Work Rights

Not specified

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