Prompt Designer – Data & AI Job in Finland (Up to €6,500/month + Hybrid Work)

TietoEVRY Jobs

Tietoevry Care has described prompt-design work that combines healthcare or welfare domain knowledge, documentation, model validation, collaboration and software/data skills, but the historical WorkinVirtual vacancy does not establish a current opening or salary. Verify a live role on the official career site. A strong application demonstrates safe evaluation of an AI-assisted workflow, not clever prompting in isolation.

What to verify

  • Current requisition ID, employing Tietoevry business, city, contract and remote type.
  • Required Finnish and English level, healthcare/welfare experience and work authorization.
  • Whether the role creates prompts, evaluation datasets, workflow specifications, guardrails, documentation or production code.
  • Which data environments, cloud services and clinical governance controls apply.
  • Compensation, closing date and hybrid expectations only from the live official posting or written offer.

Evidence to prepare

Build one safe case using public or synthetic data. Define the user and workflow, intended task, unacceptable outcomes, evidence boundary and human decision point. Create a small representative test set that includes ordinary cases, ambiguous inputs, adversarial or incomplete inputs and important subgroup considerations. Record expected behavior, observed output, error category, severity, mitigation and retest result.

Show that you can write clear requirements and documentation, collaborate with domain professionals, use Python or SQL where relevant and explain limitations without hiding them. Include versioning, traceability, privacy, access control and monitoring. Do not upload patient, client or employer data to a public model or portfolio.

Practical application steps

  1. Find the role through Tietoevry’s official careers domain and save its identifier, date, location and final URL.
  2. Separate mandatory language, domain, validation and technical requirements from preferences.
  3. Map each mandatory outcome to a concise evidence statement and verifier.
  4. Prepare a two-page evaluation case using synthetic data and a clearly stated human-oversight boundary.
  5. Tailor the résumé to documentation, model evaluation, healthcare collaboration and data/software delivery.
  6. Ask how the team defines safety, who approves clinical use, which metrics trigger rollback and how incidents are escalated.
  7. Recheck the posting immediately before submission and remove any confidential artifacts.

Stop if a recruiter asks for payment, communicates only from an unrelated domain, proposes using uncontrolled patient data or cannot explain the official requisition.

Safety, accessibility and trust

Healthcare AI can affect sensitive information and decisions. Follow the actual organization’s privacy, security, clinical-safety and regulatory processes. Minimize data, use authorized environments, document human oversight and design accessible interfaces and explanations. Do not claim a model diagnoses, treats or is “compliant” without scoped evidence and accountable review.

Cross-border employment and professional requirements need current local review. This page is career preparation, not clinical, legal or regulatory advice.

Engagement checklist

The reader should verify a live role, identify five requirement groups, create one synthetic evaluation case, name three failure modes, define a human decision point and record one interview question. Useful events measure evaluation-case and checklist completion.

Primary and official sources

Access date: 2026-08-09. These sources support role and healthcare-AI context; they do not prove that the archived role remains open.

FAQ

Is the €6,500 role still open?

Not established. Use a live official Tietoevry requisition and its current terms.

Is prompt design only about writing prompts?

No. In healthcare it can include workflow requirements, documentation, evaluation, data/software work, safety controls and multidisciplinary collaboration.

Do I need clinical experience?

The historical role requested it; only the current posting establishes today’s mandatory criteria.

What portfolio project is safest?

Use public or synthetic data to demonstrate evaluation design, failure analysis, human oversight and documentation.

Can I reuse patient examples from work?

No, not without explicit authorization and proper de-identification under the responsible organization’s rules.

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