
人工智能工程師以高薪受聘為顧問,協助大型企業解決技術難題、推進人工智能應用并實現人工智能與企業數據的融合——這是傳統顧問難以勝任的領域。
總部位于舊金山的開發工具公司Hasura打造了企業級人工智能平臺PromptQL,該平臺為旗下工程師開出每小時900美元的薪資。這些工程師的任務是利用大型語言模型(LLM)構建并部署人工智能智能體,以分析企業內部數據。
PromptQL聯合創始人兼首席執行官坦邁·戈帕爾(Tanmai Gopal)向《財富》雜志表示,這一時薪水平體現了緊跟技術快速迭代步伐所需的“行業洞察力”與技術能力。
戈帕爾稱,該公司為人工智能工程師顧問設定的時薪“與當前市場人工智能工程師的普遍薪資水平一致”,但由于客戶對PromptQL設定的價格并無異議,“我們覺得甚至有必要進一步上調薪資”。
“那些擁有工商管理碩士(MBA)背景的人才……確實具備出色的戰略思維且十分聰慧,但他們對人工智能的能力邊界缺乏行業洞察力?!备昱翣栒f道。
盡管戈帕爾拒絕透露通過PromptQL將人工智能整合到業務中的企業,但他表示,其中包括“全球最大的網絡公司”、頂尖快餐企業、電商平臺、雜貨及食品配送科技公司,以及“頭部B2B企業之一”。
專注于人工智能、量子及前沿科技領域人才招聘的精品獵頭機構Deep Tech Recruitment創始人奧安娜·約爾達切斯庫(Oana Iord?chescu)向《財富》雜志透露,企業與初創公司正以“前所未有的薪資水平”爭奪高級人工智能工程師,導致該領域薪資水平普遍上揚。
約爾達切斯庫指出,人工智能工程師顧問的時薪“遠超四大會計師事務所顧問合伙人”——后者時薪通常在400至600美元之間。
“傳統管理顧問雖能制定人工智能戰略,但大多數人缺乏實際技術操作能力,無法調試模型、搭建數據管道,也無法將人工智能系統整合到企業傳統基礎設施中。”約爾達切斯庫表示,“人工智能工程師擔任顧問,恰好填補了這一空白:他們不僅能給出專業建議,還能直接推動項目落地實施?!?/p>
人工智能顧問羅伯·霍華德(Rob Howard)向《財富》雜志表示,對于每小時900美元的人工智能咨詢費率這一“令人咋舌的數字”,他并不感到意外——在企業爭相將人工智能融入自身業務的浪潮中,涉及人工智能的項目普遍存在溢價。
霍華德身兼Innovating with AI的首席執行官,該項目旨在培養人們成為合格的人工智能顧問。他透露,部分學員通過提供人工智能培訓或開設為期兩天的速成班,便能收獲每小時400至500美元的收入。
“當前市場整體定價偏高,根源在于需求旺盛而人才稀缺——具備相應資質的專業人士實屬鳳毛麟角?!被羧A德解釋道。
麻省理工學院(MIT)網絡人工智能智能體與去中心化人工智能(NANDA)項目近期發布的一份報告顯示,盡管生成式人工智能對企業而言潛力巨大,但95%旨在推動營收快速增長的人工智能項目均以失敗告終。該報告主要作者、麻省理工學院NANDA項目研究員阿迪蒂亞·查拉帕利(Aditya Challapally)此前向《財富》雜志表示,人工智能試點項目失敗的原因并非人工智能模型的質量問題,而是工具和企業層面均存在“認知差距”。
查拉帕利本月初向《財富》雜志表示:“部分大型企業的試點項目和新興初創公司確實憑借生成式人工智能取得了卓越成效?!彼e例稱,由19、20歲年輕人領導的初創企業“年收入從零躍升至2000萬美元”。
“這源于他們聚焦單一痛點、高效執行,并巧妙與采用其工具的企業建立合作關系?!彼a充道。
AnswerRocket人工智能咨詢主管吉姆·約翰遜(Jim Johson)向《財富》雜志表示,考慮到企業過去兩年在人工智能領域的嘗試“成效甚微”,900美元的時薪“完全在情理之中”。
“如今企業迫切需要展示實質性進展,卻發現企業級人工智能并無捷徑可走,”約翰遜指出?!斑@種溢價不會長久延續,但就目前而言,企業支付這筆費用,本質上是在為規避95%的失敗率買單——相當于購置了一份保險?!?
戈帕爾表示,PromptQL之所以能讓員工具備高價值,關鍵在于讓人工智能工程師兼任顧問與前置部署工程師(FDE):這類崗位融合銷售與工程職能,核心任務是整合人工智能解決方案。
戈帕爾表示,這批新型人工智能工程師顧問正在顛覆咨詢行業格局。但他認為該公司正在重塑傳統咨詢合作模式的預期與文化。
“市場需求確實存在,”他坦言,“真正的難題在于企業領導者——尤其是傳統企業高管——更習慣于傳統咨詢模式?!?
戈帕爾表示,PromptQL的挑戰在于“推動領導層實現認知轉型、開展行業科普,并鄭重宣告:‘各位,如今有全新的工作范式了?!保ㄘ敻恢形木W)
譯者:中慧言-王芳
人工智能工程師以高薪受聘為顧問,協助大型企業解決技術難題、推進人工智能應用并實現人工智能與企業數據的融合——這是傳統顧問難以勝任的領域。
總部位于舊金山的開發工具公司Hasura打造了企業級人工智能平臺PromptQL,該平臺為旗下工程師開出每小時900美元的薪資。這些工程師的任務是利用大型語言模型(LLM)構建并部署人工智能智能體,以分析企業內部數據。
PromptQL聯合創始人兼首席執行官坦邁·戈帕爾(Tanmai Gopal)向《財富》雜志表示,這一時薪水平體現了緊跟技術快速迭代步伐所需的“行業洞察力”與技術能力。
戈帕爾稱,該公司為人工智能工程師顧問設定的時薪“與當前市場人工智能工程師的普遍薪資水平一致”,但由于客戶對PromptQL設定的價格并無異議,“我們覺得甚至有必要進一步上調薪資”。
“那些擁有工商管理碩士(MBA)背景的人才……確實具備出色的戰略思維且十分聰慧,但他們對人工智能的能力邊界缺乏行業洞察力?!备昱翣栒f道。
盡管戈帕爾拒絕透露通過PromptQL將人工智能整合到業務中的企業,但他表示,其中包括“全球最大的網絡公司”、頂尖快餐企業、電商平臺、雜貨及食品配送科技公司,以及“頭部B2B企業之一”。
專注于人工智能、量子及前沿科技領域人才招聘的精品獵頭機構Deep Tech Recruitment創始人奧安娜·約爾達切斯庫(Oana Iord?chescu)向《財富》雜志透露,企業與初創公司正以“前所未有的薪資水平”爭奪高級人工智能工程師,導致該領域薪資水平普遍上揚。
約爾達切斯庫指出,人工智能工程師顧問的時薪“遠超四大會計師事務所顧問合伙人”——后者時薪通常在400至600美元之間。
“傳統管理顧問雖能制定人工智能戰略,但大多數人缺乏實際技術操作能力,無法調試模型、搭建數據管道,也無法將人工智能系統整合到企業傳統基礎設施中。”約爾達切斯庫表示,“人工智能工程師擔任顧問,恰好填補了這一空白:他們不僅能給出專業建議,還能直接推動項目落地實施?!?/p>
人工智能顧問羅伯·霍華德(Rob Howard)向《財富》雜志表示,對于每小時900美元的人工智能咨詢費率這一“令人咋舌的數字”,他并不感到意外——在企業爭相將人工智能融入自身業務的浪潮中,涉及人工智能的項目普遍存在溢價。
霍華德身兼Innovating with AI的首席執行官,該項目旨在培養人們成為合格的人工智能顧問。他透露,部分學員通過提供人工智能培訓或開設為期兩天的速成班,便能收獲每小時400至500美元的收入。
“當前市場整體定價偏高,根源在于需求旺盛而人才稀缺——具備相應資質的專業人士實屬鳳毛麟角?!被羧A德解釋道。
麻省理工學院(MIT)網絡人工智能智能體與去中心化人工智能(NANDA)項目近期發布的一份報告顯示,盡管生成式人工智能對企業而言潛力巨大,但95%旨在推動營收快速增長的人工智能項目均以失敗告終。該報告主要作者、麻省理工學院NANDA項目研究員阿迪蒂亞·查拉帕利(Aditya Challapally)此前向《財富》雜志表示,人工智能試點項目失敗的原因并非人工智能模型的質量問題,而是工具和企業層面均存在“認知差距”。
查拉帕利本月初向《財富》雜志表示:“部分大型企業的試點項目和新興初創公司確實憑借生成式人工智能取得了卓越成效?!彼e例稱,由19、20歲年輕人領導的初創企業“年收入從零躍升至2000萬美元”。
“這源于他們聚焦單一痛點、高效執行,并巧妙與采用其工具的企業建立合作關系?!彼a充道。
AnswerRocket人工智能咨詢主管吉姆·約翰遜(Jim Johson)向《財富》雜志表示,考慮到企業過去兩年在人工智能領域的嘗試“成效甚微”,900美元的時薪“完全在情理之中”。
“如今企業迫切需要展示實質性進展,卻發現企業級人工智能并無捷徑可走,”約翰遜指出?!斑@種溢價不會長久延續,但就目前而言,企業支付這筆費用,本質上是在為規避95%的失敗率買單——相當于購置了一份保險?!?
戈帕爾表示,PromptQL之所以能讓員工具備高價值,關鍵在于讓人工智能工程師兼任顧問與前置部署工程師(FDE):這類崗位融合銷售與工程職能,核心任務是整合人工智能解決方案。
戈帕爾表示,這批新型人工智能工程師顧問正在顛覆咨詢行業格局。但他認為該公司正在重塑傳統咨詢合作模式的預期與文化。
“市場需求確實存在,”他坦言,“真正的難題在于企業領導者——尤其是傳統企業高管——更習慣于傳統咨詢模式?!?
戈帕爾表示,PromptQL的挑戰在于“推動領導層實現認知轉型、開展行業科普,并鄭重宣告:‘各位,如今有全新的工作范式了。’”(財富中文網)
譯者: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 Iord?chescu, 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.
Iord?chescu 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,” Iord?chescu 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.’”