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Artificial Intelligence Developer Hiring Trends in Geneva, Switzerland

This report was last updated on Aug 16, 2025

Bence Gedai / Founder

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

  • The Artificial Intelligence Engineers job market trends in Switzerland, particularly in Geneva, reveal a challenging landscape for hiring managers, with a median time to hire set at 33 days, necessitating the implementation of strategic hiring practices.
  • This market consists of a moderate talent pool with fluctuating job openings and closures, highlighting a total of 4 openings at peak times but also a concerning figure of 6 closures in a single week, indicating difficulties in talent retention.
  • Top companies actively hiring for Artificial Intelligence Engineer roles include Microsoft, Axelera AI, and TieTalent, reflecting the diverse industry demand within the tech sector.
  • Zurich ranks as the most prominent city for Artificial Intelligence job opportunities, followed by Bern and Basel, with Geneva itself representing 10% of overall job openings.
  • The preferred employment type within the Artificial Intelligence Engineers job market emphasizes full-time roles, which constitute 93% of opportunities, further illustrating the stable demand for committed talent in Switzerland Geneva.
Number of roles opened and closed for Artificial Intelligence Engineers in Geneva in the last 3 months

Number of roles opened and closed for Artificial Intelligence Engineers in Geneva in the last 3 months

The Artificial Intelligence Engineers job market in Switzerland Geneva has exhibited fluctuating activity over the past 12 weeks, with a notable increase in job postings peaking at 4 openings in week 24 and again in week 31. However, this surge contrasts with a higher rate of job closures, particularly in week 26, where 6 positions were closed, indicating potential challenges in retaining talent in this sector. When compared to other roles in Switzerland, the demand for Artificial Intelligence Developers appears to be slightly lower, reflecting a more robust recruitment environment for software developers in other areas across Europe. Hiring managers and CTOs in Switzerland Geneva should adopt targeted recruitment strategies to attract top talent in light of these emerging trends.

Who else is hiring for ai Engineers in Switzerland:

Company name Country Industry Founded # Job openings
Microsoft logo Microsoft United States Information Technology & Services 1975 37
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 9
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 8
Gaea21 logo Gaea21 Switzerland Environmental Services 2005 8
Rocken® logo Rocken® Switzerland Online Media 2020 6
WorldQuant logo WorldQuant United States Financial Services 2007 6
NVIDIA logo NVIDIA United States Computer Hardware 1993 5
adesso Schweiz AG logo adesso Schweiz AG Switzerland Information Technology & Services 2007 5
EY logo EY United Kingdom Professional Training & Coaching 1989 4
Boston Consulting Group (BCG) logo Boston Consulting Group (BCG) United States Management Consulting 1963 4

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Talent pool vs job openings for Artificial Intelligence Engineers in Switzerland

How competitive it is to hire Artificial Intelligence Engineers in Switzerland

The Artificial Intelligence Engineers job market trends in Switzerland, particularly in Geneva, reflect a unique challenge for hiring managers. With a significant number of job openings compared to the available talent pool, the ratio indicates that hiring talent is relatively more difficult in Switzerland than in other European countries, such as Germany, France, and the Netherlands. For instance, while Germany boasts a larger talent pool, the demand there is also high, leading to increased competition for skilled professionals. In contrast, Switzerland's specific market dynamics signal that CTOs and Engineering Managers may need to adopt targeted recruitment strategies to attract Senior Artificial Intelligence Developers. These insights highlight the difficulties faced in scaling teams adept at emerging technologies and underscore the importance of staying informed about recruitment strategies for CTOs in Switzerland's tech sector.

Seniority distribution of Artificial Intelligence Engineer job openings in Geneva

Seniority Distribution of Artificial Intelligence Engineering Jobs in Geneva

In Geneva, the distribution of Artificial Intelligence Engineering jobs reveals a strong demand for professionals at varying levels of expertise. The Mid-Senior level positions account for 48% of the job market, while Entry level roles represent 24%, and Associate positions make up 19%. This trend highlights the need for hiring managers to focus on attracting experienced talent, particularly in the rapidly evolving landscape of the Artificial Intelligence job market in Switzerland.

Chart about preferred employment type for Engineering roles in Switzerland

Preferred employment type for Engineering roles in Switzerland

In Switzerland, the employment type distribution for engineering roles reveals a significant preference for full-time positions, comprising 93% of the job market. Part-time roles account for 3% of the total opportunities, while contract positions represent 2%. This data underscores the dominance of full-time employment in the Artificial Intelligence Engineers job market trends in Switzerland Geneva.

Time to Hire Distribution for Artificial Intelligence in Switzerland

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence positions in Switzerland reveals notable trends that hiring managers should consider. With the majority of candidates being hired within a timeframe of 30 to 35 days (accounting for 247 and 119 candidates, respectively), the recruitment process for Artificial Intelligence Engineers demonstrates a significant concentration in this range. Additionally, a considerable number of hires occur within a 10 to 20-day period, reflecting a competitive landscape in the job market. Conversely, the longer hiring durations beyond 60 days suggest potential challenges in finding suitable talent, a trend that recruitment strategies for CTOs in Switzerland Geneva's tech sector must address. Overall, comprehending these hiring trends is essential for effectively navigating the Artificial Intelligence job market in Switzerland Geneva.

Expolore reports from other European Developer talent pools

Most popular cities in Switzerland to hire Artificial Intelligence Engineers

Top 5 cities in Switzerland to hire Artificial Intelligence Engineers

In the analysis of the Artificial Intelligence Engineers job market in Switzerland, the prominent distribution highlights Zurich as the leading city with 54% of job openings. Following Zurich, Bern accounts for 13%, while Basel contributes 11% to the overall job landscape. Geneva, the capital, has 10% representation in this sector, underscoring its significance within the national job market. This data is further illustrated in the accompanying chart.

Most sought after technologies in Geneva for Artificial Intelligence

Key technologies for Artificial Intelligence Engineers

In the landscape of Artificial Intelligence job opportunities, specific technologies have emerged as quintessential tools for engineers in Switzerland, particularly in Geneva. Python leads the charge, boasting a usage frequency of 7739, indicating its vital role in AI development. Following closely are machine learning frameworks, with a frequency of 4944, highlighting the sector's reliance on advanced data manipulation techniques. SQL, with a frequency of 2543, serves as a critical database management system for AI applications. Additionally, Data Science technologies, recorded at a frequency of 1439, further emphasize the importance of analytical skills in this domain. A detailed chart illustrating these technologies' prevalence is provided for a comprehensive understanding of current trends.

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