TL;DR
AI is spawning new job titles from Claude Evangelist ($240K) to vibe coder ($108K) even as it eliminates the roles they’re replacing.
AI companies are not just changing the way people work. They are changing the kinds of roles that exist. Org charts are morphing as an entirely new class of jobs emerges, some with titles that did not exist two years ago, others that represent old professions reborn inside the technology industry. The hiring sprees stand in stark contrast to the layoffs that many of the same companies are citing AI as the justification for.
The range is striking. Companies are looking for everything from one of the oldest intellectual pursuits, philosophy, to an entirely new category of work spawned by generative AI coding tools, the professional vibe coder. Between those poles sit forward deployed engineers, AI accelerators, evangelists, gig workers training models, and a growing class of C-suite officers whose entire job is to make sure the rest of the company uses AI.
The forward deployed engineer is the hottest role in the category. Popularised by Palantir in the 2010s, the job embeds a specialised engineer directly with a customer to deliver tailored AI solutions rather than off-the-shelf software. Indeed data shows that job postings for forward deployed engineers in January 2026 were roughly 19 times the volume of the year before. Palantir CEO Alex Karp has compared the role to a seasoned waiter in a French restaurant, combining deep product knowledge with exquisite service. OpenAI, Anthropic, Google, Amazon Web Services, and Palantir are all hiring, with starting salaries ranging from $115,000 to more than $200,000. Salesforce’s projected $300 million in Anthropic token spending this year illustrates the scale of enterprise AI adoption these engineers are being hired to support.
The AI evangelist is a different kind of hire. Anthropic is looking for a “Claude Evangelist,” someone who will serve as the company’s face in the startup ecosystem, combining at least seven years of founder-builder experience with developer-facing credibility. The role pays $240,000, significantly more than the $106,000 average for a US director of communications, according to Indeed. OpenAI has tripled the size of its communications team. Adobe is hunting for a “Business Architect & AI Evangelist.” The underlying logic is that AI products are too complex and too consequential to sell through conventional marketing. They require people who can explain, demonstrate, and build trust in person.
The AI philosopher may be the most unexpected entry. Anthropic has a resident philosopher. So does Google DeepMind. Both positions focus on ensuring AI models are aligned with human values. Anthropic publishes a Constitution for Claude, a detailed description of the values it wants its AI to have, and the philosophical work behind it is not decorative. Google DeepMind recently sought an emerging impacts manager in AI ethics and safety with a base salary of $212,000 to $231,000. Philosophy departments that have spent years defending their enrolment numbers now have a direct pipeline into technology companies paying more than twice the median salary for the discipline.
The internal AI accelerator is the role that most directly confronts the tension between AI hiring and AI layoffs. Stripe is hiring a “Forward Deployed AI Accelerator” to embed within its marketing team and make “AI the default mode for all work.” Box is hiring an “AI Business Automation Engineer” to integrate AI agents across its cloud management platform. These roles exist to push employees who already have jobs to use AI more aggressively, which raises the question of what happens to the employees who do not adapt. GM’s decision this week to lay off 500 IT workers while simultaneously hiring for 250 AI positions is the clearest illustration of the dynamic: the same company is both creating and eliminating jobs in the same quarter.
The vibe coder is the newest category. The term, popularised by AI coding tools that allow non-engineers to build functional software through natural language prompts, has moved from internet slang to job listings. Lovable, a vibe-coding platform, is hiring professional vibe coders. TikTok is looking for a product designer who can create prototypes using “code and AI tools.” YouTube wants an “AI Solution Architect” who can “bypass traditional, slow-moving development cycles by utilizing AI-assisted development (vibe-coding) and low code solutions.” Engineering leaders are still figuring out how to measure the productivity gains from AI coding tools, but the job market is already pricing the skill as a standalone qualification. TikTok’s role starts at $108,000. YouTube’s starts at $149,000.
At the bottom of the AI jobs pyramid sit the gig workers who train the models. Companies like Scale AI and Mercor employ workers to evaluate creative writing output, train translation capabilities, and refine AI reasoning. Traditional gig platforms including Uber, DoorDash, and Instawork are also offering jobs that pay users for uploading photos and videos of chores and tasks that will be used to train AI systems. Depending on experience and task complexity, workers earn anywhere from $15 to roughly $200 per hour. The barrier to entry is lower than for any other AI role, but so is the security.
At the top sits the Chief AI Officer. PwC appointed one in July 2024. Accenture created a chief responsible AI officer the same year. Raymond James established a “Principal AI Architect” in 2025. Local governments are following: Arkansas is hiring a Chief AI Officer at a starting salary of just over $117,000. Glassdoor estimates private-sector pay for the role between $265,000 and $494,000.
The graduates entering this market are doing so at a moment when AI is simultaneously the most in-demand skill and the technology most frequently cited as the reason for layoffs. Detroit’s Big Three automakers have cut 20,000 white-collar jobs while posting 400 AI positions. Salesforce cut 4,000 support staff and is spending $300 million on Anthropic tokens. The pattern is consistent: the jobs AI creates pay more, require more specialised skills, and are fewer in number than the jobs it eliminates. The net effect on employment is a question economists will debate for years. What is not in debate is that the job titles on the name tags at the next networking event will look nothing like the ones from two years ago.
