
人工智能工程师以高薪受聘为顾问,协助大型企业解决技术难题、推进人工智能应用并实现人工智能与企业数据的融合——这是传统顾问难以胜任的领域。
总部位于旧金山的开发工具公司Hasura打造了企业级人工智能平台PromptQL,该平台为旗下工程师开出每小时900美元的薪资。这些工程师的任务是利用大型语言模型(LLM)构建并部署人工智能智能体,以分析企业内部数据。
PromptQL联合创始人兼首席执行官坦迈·戈帕尔(Tanmai Gopal)向《财富》杂志表示,这一时薪水平体现了紧跟技术快速迭代步伐所需的“行业洞察力”与技术能力。
戈帕尔称,该公司为人工智能工程师顾问设定的时薪“与当前市场人工智能工程师的普遍薪资水平一致”,但由于客户对PromptQL设定的价格并无异议,“我们觉得甚至有必要进一步上调薪资”。
“那些拥有工商管理硕士(MBA)背景的人才……确实具备出色的战略思维且十分聪慧,但他们对人工智能的能力边界缺乏行业洞察力。”戈帕尔说道。
尽管戈帕尔拒绝透露通过PromptQL将人工智能整合到业务中的企业,但他表示,其中包括“全球最大的网络公司”、顶尖快餐企业、电商平台、杂货及食品配送科技公司,以及“头部B2B企业之一”。
专注于人工智能、量子及前沿科技领域人才招聘的精品猎头机构Deep Tech Recruitment创始人奥安娜·约尔达切斯库(Oana Iordăchescu)向《财富》杂志透露,企业与初创公司正以“前所未有的薪资水平”争夺高级人工智能工程师,导致该领域薪资水平普遍上扬。
约尔达切斯库指出,人工智能工程师顾问的时薪“远超四大会计师事务所顾问合伙人”——后者时薪通常在400至600美元之间。
“传统管理顾问虽能制定人工智能战略,但大多数人缺乏实际技术操作能力,无法调试模型、搭建数据管道,也无法将人工智能系统整合到企业传统基础设施中。”约尔达切斯库表示,“人工智能工程师担任顾问,恰好填补了这一空白:他们不仅能给出专业建议,还能直接推动项目落地实施。”
人工智能顾问罗伯·霍华德(Rob Howard)向《财富》杂志表示,对于每小时900美元的人工智能咨询费率这一“令人咋舌的数字”,他并不感到意外——在企业争相将人工智能融入自身业务的浪潮中,涉及人工智能的项目普遍存在溢价。
霍华德身兼Innovating with AI的首席执行官,该项目旨在培养人们成为合格的人工智能顾问。他透露,部分学员通过提供人工智能培训或开设为期两天的速成班,便能收获每小时400至500美元的收入。
“当前市场整体定价偏高,根源在于需求旺盛而人才稀缺——具备相应资质的专业人士实属凤毛麟角。”霍华德解释道。
麻省理工学院(MIT)网络人工智能智能体与去中心化人工智能(NANDA)项目近期发布的一份报告显示,尽管生成式人工智能对企业而言潜力巨大,但95%旨在推动营收快速增长的人工智能项目均以失败告终。该报告主要作者、麻省理工学院NANDA项目研究员阿迪蒂亚·查拉帕利(Aditya Challapally)此前向《财富》杂志表示,人工智能试点项目失败的原因并非人工智能模型的质量问题,而是工具和企业层面均存在“认知差距”。
查拉帕利本月初向《财富》杂志表示:“部分大型企业的试点项目和新兴初创公司确实凭借生成式人工智能取得了卓越成效。”他举例称,由19、20岁年轻人领导的初创企业“年收入从零跃升至2000万美元”。
“这源于他们聚焦单一痛点、高效执行,并巧妙与采用其工具的企业建立合作关系。”他补充道。
AnswerRocket人工智能咨询主管吉姆·约翰逊(Jim Johson)向《财富》杂志表示,考虑到企业过去两年在人工智能领域的尝试“成效甚微”,900美元的时薪“完全在情理之中”。
“如今企业迫切需要展示实质性进展,却发现企业级人工智能并无捷径可走,”约翰逊指出。“这种溢价不会长久延续,但就目前而言,企业支付这笔费用,本质上是在为规避95%的失败率买单——相当于购置了一份保险。”
戈帕尔表示,PromptQL之所以能让员工具备高价值,关键在于让人工智能工程师兼任顾问与前置部署工程师(FDE):这类岗位融合销售与工程职能,核心任务是整合人工智能解决方案。
戈帕尔表示,这批新型人工智能工程师顾问正在颠覆咨询行业格局。但他认为该公司正在重塑传统咨询合作模式的预期与文化。
“市场需求确实存在,”他坦言,“真正的难题在于企业领导者——尤其是传统企业高管——更习惯于传统咨询模式。”
戈帕尔表示,PromptQL的挑战在于“推动领导层实现认知转型、开展行业科普,并郑重宣告:‘各位,如今有全新的工作范式了。’”(财富中文网)
译者:中慧言-王芳
人工智能工程师以高薪受聘为顾问,协助大型企业解决技术难题、推进人工智能应用并实现人工智能与企业数据的融合——这是传统顾问难以胜任的领域。
总部位于旧金山的开发工具公司Hasura打造了企业级人工智能平台PromptQL,该平台为旗下工程师开出每小时900美元的薪资。这些工程师的任务是利用大型语言模型(LLM)构建并部署人工智能智能体,以分析企业内部数据。
PromptQL联合创始人兼首席执行官坦迈·戈帕尔(Tanmai Gopal)向《财富》杂志表示,这一时薪水平体现了紧跟技术快速迭代步伐所需的“行业洞察力”与技术能力。
戈帕尔称,该公司为人工智能工程师顾问设定的时薪“与当前市场人工智能工程师的普遍薪资水平一致”,但由于客户对PromptQL设定的价格并无异议,“我们觉得甚至有必要进一步上调薪资”。
“那些拥有工商管理硕士(MBA)背景的人才……确实具备出色的战略思维且十分聪慧,但他们对人工智能的能力边界缺乏行业洞察力。”戈帕尔说道。
尽管戈帕尔拒绝透露通过PromptQL将人工智能整合到业务中的企业,但他表示,其中包括“全球最大的网络公司”、顶尖快餐企业、电商平台、杂货及食品配送科技公司,以及“头部B2B企业之一”。
专注于人工智能、量子及前沿科技领域人才招聘的精品猎头机构Deep Tech Recruitment创始人奥安娜·约尔达切斯库(Oana Iordăchescu)向《财富》杂志透露,企业与初创公司正以“前所未有的薪资水平”争夺高级人工智能工程师,导致该领域薪资水平普遍上扬。
约尔达切斯库指出,人工智能工程师顾问的时薪“远超四大会计师事务所顾问合伙人”——后者时薪通常在400至600美元之间。
“传统管理顾问虽能制定人工智能战略,但大多数人缺乏实际技术操作能力,无法调试模型、搭建数据管道,也无法将人工智能系统整合到企业传统基础设施中。”约尔达切斯库表示,“人工智能工程师担任顾问,恰好填补了这一空白:他们不仅能给出专业建议,还能直接推动项目落地实施。”
人工智能顾问罗伯·霍华德(Rob Howard)向《财富》杂志表示,对于每小时900美元的人工智能咨询费率这一“令人咋舌的数字”,他并不感到意外——在企业争相将人工智能融入自身业务的浪潮中,涉及人工智能的项目普遍存在溢价。
霍华德身兼Innovating with AI的首席执行官,该项目旨在培养人们成为合格的人工智能顾问。他透露,部分学员通过提供人工智能培训或开设为期两天的速成班,便能收获每小时400至500美元的收入。
“当前市场整体定价偏高,根源在于需求旺盛而人才稀缺——具备相应资质的专业人士实属凤毛麟角。”霍华德解释道。
麻省理工学院(MIT)网络人工智能智能体与去中心化人工智能(NANDA)项目近期发布的一份报告显示,尽管生成式人工智能对企业而言潜力巨大,但95%旨在推动营收快速增长的人工智能项目均以失败告终。该报告主要作者、麻省理工学院NANDA项目研究员阿迪蒂亚·查拉帕利(Aditya Challapally)此前向《财富》杂志表示,人工智能试点项目失败的原因并非人工智能模型的质量问题,而是工具和企业层面均存在“认知差距”。
查拉帕利本月初向《财富》杂志表示:“部分大型企业的试点项目和新兴初创公司确实凭借生成式人工智能取得了卓越成效。”他举例称,由19、20岁年轻人领导的初创企业“年收入从零跃升至2000万美元”。
“这源于他们聚焦单一痛点、高效执行,并巧妙与采用其工具的企业建立合作关系。”他补充道。
AnswerRocket人工智能咨询主管吉姆·约翰逊(Jim Johson)向《财富》杂志表示,考虑到企业过去两年在人工智能领域的尝试“成效甚微”,900美元的时薪“完全在情理之中”。
“如今企业迫切需要展示实质性进展,却发现企业级人工智能并无捷径可走,”约翰逊指出。“这种溢价不会长久延续,但就目前而言,企业支付这笔费用,本质上是在为规避95%的失败率买单——相当于购置了一份保险。”
戈帕尔表示,PromptQL之所以能让员工具备高价值,关键在于让人工智能工程师兼任顾问与前置部署工程师(FDE):这类岗位融合销售与工程职能,核心任务是整合人工智能解决方案。
戈帕尔表示,这批新型人工智能工程师顾问正在颠覆咨询行业格局。但他认为该公司正在重塑传统咨询合作模式的预期与文化。
“市场需求确实存在,”他坦言,“真正的难题在于企业领导者——尤其是传统企业高管——更习惯于传统咨询模式。”
戈帕尔表示,PromptQL的挑战在于“推动领导层实现认知转型、开展行业科普,并郑重宣告:‘各位,如今有全新的工作范式了。’”(财富中文网)
译者:中慧言-王芳
AI engineers are being paid a premium to work as consultants to help large companies troubleshoot, adopt, and integrate AI with enterprise data—something traditional consultants may not be able to do.
PromptQL, an enterprise AI platform created by San Francisco-based developer tooling company Hasura, is doling out $900-per-hour wages to its engineers tasked with building and deploying AI agents to analyze internal company data using large language models (LLMs).
The price point reflects the “intuition” and technical skills needed to keep pace with a rapidly-changing technology, Tanmai Gopal, PromptQL’s cofounder and CEO, told Fortune.
Gopal said the company hourly wage for AI engineers as consultants is “aligned with the going rate that you would see for AI engineers,” but that “it feels like we should be increasing that price even more,” as customers aren’t pushing back on the price PromptQL sets.
“MBA types… are very strategic thinkers, and they’re smart people, but they don’t have an intuition for what AI can do,” Gopal said.
Gopal declined to disclose any customers that have used PromptQL to integrate AI into their businesses, but says the list includes “the largest networking company” as well as top fast food, e-commerce, grocery and food delivery tech companies, and “one of the largest B2B companies.”
Oana Iordăchescu, founder of Deep Tech Recruitment, a boutique agency focused on AI, quantum, and frontier tech talent, told Fortune enterprises and startups are competing for senior AI engineers at “unprecedented rates,” and which is leading to wage inflation.
Iordăchescu said the wages are priced “far above even Big Four consulting partners,” who often make around $400 to $600 per hour.
“Traditional management consultants can design AI strategies, but most lack the hands-on technical expertise to debug models, build pipelines, or integrate systems into legacy infrastructure,” Iordăchescu said. “AI engineers working as consultants bridge that gap. They don’t just advise, they execute.”
AI consultant Rob Howard told Fortune he wasn’t surprised at “mind-blowing numbers” like a $900-per-hour wage for AI consulting work, as he’s seen a price premium on projects that have an AI component while companies rush to adopt it into their businesses.
Howard, who is also the CEO Innovating with AI, a program to teach people to become AI consultants in their own right, said some students of his have sold AI trainings or two-day boot camps that net out to $400 or $500 per hour.
“The pricing for this is high in general across the market, because it’s in demand and new and relatively rare to find, you know, people who are qualified to do it,” Howard said.
A recent report published by MIT’s NANDA initiative, revealed that while generative AI holds promise for enterprises, 95% of initiatives to drive rapid revenue growth failed. Aditya Challapally, the lead author of the report and a research contributor to project NANDA at MIT, previously told Fortune the AI pilot program failures did not fall on the quality of the AI models, but the “learning gap” for both tools and organizations.
“Some large companies’ pilots and younger startups are really excelling with generative AI,” Challapally told Fortune earlier this month. Startups led by 19- or 20-year-olds, for example, “have seen revenues jump from zero to $20 million in a year,” he said.
“It’s because they pick one pain point, execute well, and partner smartly with companies who use their tools,” he added.
Jim Johson, an AI consulting executive at AnswerRocket, told Fortune the $900-per-hour wage “makes perfect sense” when considering companies have spent two years experimenting with AI and “have little to show for it.”
“Now the pressure’s on to demonstrate real progress, and they’re discovering there’s no easy button for enterprise AI,” Johnson said. “This premium won’t last forever, but right now companies are essentially buying insurance against joining that 95% failure statistic.”
Gopal said PromptQL’s business model to have AI engineers serve as both consultants and forward deployed engineers (FDEs)—hybrid sales and engineering jobs tasked with integrating AI solutions—is what makes their employees so valuable.
This new wave of AI engineer consultants is shaking up the consulting industry, Gopal said. But he sees his company as helping shift traditional consulting partnership expectations and culture.
“The demand is there,” he said. “I think what makes it hard is that leaders, especially in some of the established companies… are kind of more used to the traditional style of consultants.”
Gopal said the challenge for his company will be to “drive that leadership and education, and saying, ‘Folks, there is a new way of doing things.’”