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Starting salaries can vary greatly depending on a professional’s skills and experience, company size and demand for the role.
Architecture Cloud and Infrastructure Business Intelligence and Data Analytics Software Development and Testing Transformation C-Suite Security
Position title 25th percentile 50th percentile 75th percentile Algorithm Engineer 449000 562000 773000 Algorithm Director 787000 1125000 1657000 AI Engineer 562000 787000 1104000 Architect (Applications, Solutions, Systems) 730000 900000 1104000
25th percentile
The candidate is new to the role or has limited experience and is building necessary skills.
50th percentile
The candidate has moderate experience in the role, meets most requirements or has equivalent transferable skills, and may also have relevant certifications.
75th percentile
The candidate has extensive experience and advanced skills for the role, and may also have specialized certifications.
Small companies: < ¥ 100 million Mid-size companies: ¥100 million - ¥500 million Large companies: > ¥500 million

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2026 technology compensation trends

Key insights at a glance

57%

of technology leaders at non-foreign-owned companies say that they plan to increase salaries in 2026

40%

of technology leaders in the information technology sector say that they plan to increase salaries in 2026

53%

of technology leaders from mid-size enterprises (with 100-500 employees) say that they plan to increase salaries in 2026

40%

of technology leaders say they plan to hire contract professionals to advance strategic priorities focused on artificial intelligence, machine learning, and automation in 2026

The value of technical skills

Two thirds (66%) technology leaders say that they are willing to pay higher salaries to professionals with specialised skills, reflecting a market where advanced technical capability is becoming a major competitive differentiator. As organisations accelerate their digital agendas, the premium placed on niche knowledge continues to rise, with employers prioritising talent who can strengthen innovation, resilience, and long-term technology strategy. This trend highlights a widening gap between standard technical proficiency and the specialised expertise needed to drive modern technology transformation. AI, machine learning, and data science Cloud (e.g., computing, security, and architecture) Cybersecurity Java

The value of soft skills

Nearly one third (29%) of technology leaders state that candidates with exceptional soft skills and interpersonal capabilities are more likely to stand out, signalling a shift in how organisations evaluate talent. As technology roles become more interconnected with the wider business, professionals who can communicate clearly, collaborate effectively, and navigate complex stakeholder environments are increasingly valued. This reflects a broader recognition that technical expertise alone is no longer enough to drive successful outcomes in modern technology functions. Communication skills Language skills Stakeholder management skills Problem-solving skills
Hiring for tech roles is increasingly complex, requiring sharper technical assessment and greater efficiency. Candidates may demonstrate strong coding or systems experience, yet their expertise does not always align with the specific languages, architectures or platforms a role needs. AI‑generated applications and standardised CVs further blur real capability, making soft‑skill, cultural and long‑term potential assessment more important. To hire effectively, organisations should combine structured technical tests with practical tasks and behavioural interviews to uncover real capability. of technology leaders say that many candidates lack tailored or role-specific skills of technology leaders say that many candidates lack tailored or role-specific skills

of technology leaders state that it is challenging to assess candidates' soft skills and cultural fit of technology leaders state that it is challenging to assess candidates' soft skills and cultural fit

In-demand roles, certifications, and top industries hiring

Algorithm Engineer AI Engineer Architect (Applications, Solutions, Systems)   Cloud Engineer Software Engineer Product Director CTO AI Engineer Architect (Applications, Solutions, Systems) Project Manager Algorithm Engineer Cloud Architect Business Analyst Data Architect Data Scientist IT Digital Manager
Cloud CISSP Scrum Azure AI Fundamentals Power BI Data Analyst Associate
FMCG/Retail Pharmaceuticals & Healthcare FinTech Information technology Manufacturing

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The salaries listed in Robert Half’s Salary Guide are the result of a rigorous, multistep process to ensure our projections accurately reflect the marketplace. They are based on real compensation data from professionals Robert Half has successfully matched with employers across China.  The salaries listed in the salary tables represent gross yearly salaries. They do not include bonuses or benefits. We report salaries in three percentiles, recognising that professionals join companies at varied experience levels.  The non-salary data presented in this Salary Guide is derived from an online survey conducted by an independent research firm commissioned by Robert Half in October 2025. The survey gathered responses from 200 HR and hiring managers in finance, accounting, technology, supply chain and procurement from a diverse range of organisations in China, including SMEs and large companies in first-tier cities.