Bull Voices - Podcast

Inside AI consulting: From engineering to agentic AI

Episode 5 – 16 minutes – Published August 3, 2026

Meet Michal in this new episode of Bull Voices, our first episode in English! From studying AI in Prague to becoming a senior consultant in AI and data, he takes us through his career path and what a typical day looks like in this fast-moving field. How did he move from software engineering into AI? How has the field evolved with the rise of LLMs and AI agents? And what does it take to bring AI agents into high-stakes industries like pharma or insurance? Discover how the AI landscape has impacted the AI consultants' missions and the skills that will matter most going forward.
 

Highlights of the episode

  • Michal's journey from software engineering to AI and data consultant
  • The role of a Senior AI Consultant: client scoping, staffing, and project management
  • How the profession is evolving with the rise of LLMs and AI agents
  • A flagship project: an AI agent platform designed to accelerate drug discovery
  • His vision for the future of the role: less pure tech, more business understanding
Bull Voices #5 : Speaking the business language: AI consulting from the inside
  • 17 min
Bull Voices #5 : Speaking the business language: AI consulting from the inside
Bull Voices | Career stories about HPC, AI, Quantum and Servers
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Episode chapters

  • 00 :41 - Studies
  • 01 :37 - Tasks and challenges
  • 04 :22 - Why work in AI?
  • 05 :16 - Evolution of this field
  • 06 :53 - Difference between machine learning and today's AI
  • 08 :03 - How does Michal see the future of his field?
  • 10 :00 - Drug discovery acceleration project
  • 11 :40 - Agentic AI in insurance project
  • 12 :56 - Advice to work in AI
  • 15 :56 - Conclusion

Speaker


Michal Solc

 

Michal Solc

Data and AI Engineer

Quote highlight

"I would really encourage everyone to have the critical thinking really to review the outputs the AI is giving you […] if you don't understand the things you are creating with AI it just amplifies that you don't understand it. But if you understand it well; if you understand the structure and review what the AI is giving to you, if you give it proper instructions, then it amplifies this as well."

 - Michal

 

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