AI Solutions Architect: Production-Ready AI & Governance

Cascination

Bern

Hybrid

CHF 140,000 - 210,000

Full time

14 days+

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Job summary

Cascination is seeking a senior AI/ML engineering or solution architect to harmonize tools and initiatives across teams, and to design AI-driven workflows that operationalize our AI strategy. You will own the AI infrastructure, spanning cloud and on-premises, and advise on regulatory, compliance, and risk questions.

You will vet external AI components and mentor colleagues, growing AI literacy across the organization as we scale in a fast-growing medtech environment.

Qualifications

  • Degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 5+ years of hands-on experience in AI/ML engineering or AI solution architecture.
  • A proven track record of taking at least one AI/ML solution from concept to real-world production.
  • Working knowledge of both cloud-based and on-premises AI infrastructure.
  • Sound understanding of AI governance and regulatory considerations, ideally within a regulated industry.
  • Excellent communication skills, able to translate technical depth into terms non-technical stakeholders act on.

Responsibilities

  • Harmonize the different AI tools and initiatives across teams into one coherent, company-wide approach.
  • Design and roll out new AI-driven workflows that put our AI strategy into practice.
  • Own the AI infrastructure - cloud and on-premises - from architecture through deployment.
  • Advise projects on regulatory, compliance, and risk questions as the internal reference point for AI.
  • Vet and validate externally sourced AI components before they enter our products or processes.
  • Grow AI literacy across the organization through mentoring, knowledge-sharing, and hands-on enablement.

Skills

AI/ML engineering
Solution architecture
Cloud & on-prem infra
Regulatory governance
Communication

Education

Degree in CS/AI/Data Science

Job description

Cascination is seeking a senior AI/ML engineering or solution architect to harmonize tools and initiatives across teams, and to design AI-driven workflows that operationalize our AI strategy. You will own the AI infrastructure, spanning cloud and on-premises, and advise on regulatory, compliance, and risk questions.

You will vet external AI components and mentor colleagues, growing AI literacy across the organization as we scale in a fast-growing medtech environment.

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