How AIVIA evaluations map to real technical roles: role families, the components behind them, and example openings.
Find where you fit in AI, and prove it.
Every AI field is really many different roles, each built on different systems and demanding a different way of reasoning. AIVIA Career Maps break each field into its role families, the components behind them, and example openings.
Every component is an AIVIA evaluation unit: a real subsystem where engineers make decisions, diagnose failures, and explain tradeoffs. You don’t just read about a role. You work through real problems and get detailed feedback on how you reason.
The maps
- Frontier AI — foundation models, agents, retrieval, inference, infrastructure
- Autonomous Driving — perception, planning, embedded systems, safety
- Search & Recommendation — ranking, retrieval, RAG, personalization
- Financial Services — payments, fraud, trading, core banking
- Healthcare & Biomedical AI — genomics, diagnostics, drug discovery, clinical AI
Who it’s for
- Candidates explore where their experience fits, build evidence of how they reason, and prepare for interviews, with results that stay private until they choose to share.
- Hiring teams see how candidates reason through real problems, at a granularity engineers respect, for prescreening, interviews, and talent pipelines.
- Instructors can adapt the maps for courses, with a structured view of how students reason across subject-relevant subsystems.
This space is open to everyone - jump in and reply.
Not sure which Career Map fits your background? Ask.
Want a new role family or technical component added? Request it.
Have thoughts on the maps themselves? Share your feedback.
We pay close attention here. The members who contribute most meaningfully will be the first we spotlight and recognise.
