When a job title jumps from a rounding error to a labour-market category in three years, it usually takes a couple of years for anyone to count it properly. The counting has now been done, and the numbers are the strongest evidence yet for the optimistic side of the AI jobs debate: the fastest-growing role in American technology hiring exists precisely because AI systems need humans to work.
Labour-market analytics firm Lightcast, in figures reported by CNBC on 15 October, counted US job postings for “forward deployed engineers” — FDEs — at fewer than 200 in 2023, roughly 1,200 in 2025, and more than 7,300 in just the first nine months of 2026. Median advertised salary over the period hit US$195,456, up 40 percent from 2023 and more than three times the median advertised salary across all US job postings. As our August profile of the role noted, the job existed before this year — Palantir pioneered it — but 2026 is when the market started pricing it.
🔍 THE BOTTOM LINE
AI’s biggest spending wave has produced, so far, one clearly measurable jobs boom: deployment engineering. Postings are up more than thirty-fold in three years, pay is at triple the national median, and the companies doing the hiring say the bottleneck is not models but people. For job-seekers, the most useful detail inside the data is Lightcast’s note that FDEs share roughly half their skills with ordinary software engineering — which makes this one of the few AI-adjacent career doors a working engineer can realistically walk through.
Why the money is moving
The context is investor impatience. CNBC’s report lands in the same week the market has been punishing AI-linked stocks, and its framing is blunt: after spending billions building AI, Big Tech is now spending heavily to build the human workforce needed to prove those investments pay off.
The stated commitments are large. Amazon Web Services has committed US$1 billion to its forward-deployed engineering initiative, starting with hundreds of engineers. OpenAI has launched a deployment business backed by more than US$4 billion in initial investment, including its acquisition of applied-AI consulting firm Tomoro, expected to bring roughly 150 experienced FDEs into the operation. Anthropic is putting US$100 million into training 10,000 FDEs by the end of 2027 through its Claude Frontier Academy — which we covered in more detail last week — with first cohorts including engineers from Accenture, Deloitte, McKinsey and Commonwealth Bank of Australia. Accenture and Google Cloud are building a 1,000-person FDE workforce together.
🔍 THE BOTTOM LINE: For anyone tracking the “AI creates jobs” side of the ledger, this is the cleanest dataset going: a single named occupation, counted from employer postings, growing faster than any other tech role at the moment AI anxiety peaked. It does not offset aggregate displacement on its own — 7,300 postings is small against the wider labour market — but it is a specific, checkable counter-example to the jobs-collapse narrative, and Lightcast’s own researchers frame it as employers competing for a limited pool of talent.
The consultants are the biggest recruiters
One surprise inside the Lightcast data: the largest volumes of FDE postings do not come from the frontier labs. Deloitte posted 872 unique FDE positions in the first nine months of 2026, Accenture 688, Google 499 and KPMG 447. The demand is broadest in the firms whose business is teaching other businesses how to work — which is consistent with what the Infosys chairman’s “hogwash” argument was pointing at from the services side two days earlier.
Lightcast’s head of global research Elena Magrini summarised the demand side this way: “Demand for forward deployed engineers is rising fast, and growing wages suggest employers are competing for a limited pool of talent.” Her firm’s solution-side observation is the one career-seekers should read twice: “FDE is not an entirely new role. It shares roughly half of its skills with software engineering, creating an opportunity to tap into a much broader talent pool.”
Accenture, which retrains experienced software engineers into the role, says its FDE onboarding takes 30 to 90 days. FDE lead Ram Ramalingam’s framing matters: the programme adds specialised deployment capability to people who already have substantial engineering experience — it is not a beginner route. AWS’s stance is similar; vice president Asa Kalavade said its goal is for customer engineers to eventually maintain and expand the AI systems themselves, with AWS FDEs working alongside.
The training model that borrows from medicine
Anthropic’s Claude Frontier Academy is the most structured attempt to manufacture this talent at scale, and the CNBC report adds detail on how. The residency is modelled on medical education: participants learn from practising engineers, work realistic enterprise cases, are assessed before deploying inside their own companies, then receive twelve weeks of mentorship while working on Claude projects. First full credentials are expected in early 2027.
Whether it works is unproven. Anthropic’s global head of business development Steve Corfield acknowledged the programme is too early for outcome data, saying the company plans to track how quickly participants’ projects reach production and how heavily those systems are used. That honesty is worth carrying into any career decision built on the trend: the numbers establish demand for the role, not a guaranteed pipeline into it.
What is genuinely scarce — and what NZ readers can take from it
The recurring theme from every executive CNBC interviewed is that the scarce skill is not coding. Caylent CEO Val Henderson, whose firm embeds FDEs with AWS customers, said “the hardest thing to teach is the customer EQ, without question.” Corfield’s version: “A skill in short supply is an engineer who can understand how the business works and also build the system that changes it.”
For New Zealand, the direct postings barely exist — the counted jobs are overwhelmingly US-based. But the transferable signal maps cleanly onto local data: SEEK’s September report, which we covered this morning, shows AI skills mentioned in a record 4.2 percent of NZ job ads, with the demand concentrated in ICT, marketing and consulting — the same professional-services-shaped demand Lightcast is measuring in the US. The lesson for NZ engineers and consultants is the one both markets agree on: the growth door is the human-integration one, and the skills that open it — deployment experience, business fluency, customer judgement — overlap halfway with what working software engineers already have.
FAQ
What is a forward deployed engineer? An engineer embedded with a customer for extended periods to turn AI systems into working business applications — blending software engineering, consulting and product judgement. Palantir originated the model; AWS, OpenAI, Anthropic, Google and the big consultancies all now recruit for it.
How fast is FDE hiring growing? US postings counted by Lightcast went from fewer than 200 in 2023 to about 1,200 in 2025 and more than 7,300 in the first nine months of 2026. Median advertised salary over the period was US$195,456, up 40 percent from 2023 and more than three times the all-occupancy US median.
Which companies posted the most FDE jobs in 2026? Deloitte (872 postings), Accenture (688), Google (499) and KPMG (447) led, per Lightcast — the consultancies outrank the frontier labs by volume. The figures are advertised positions, not completed hires.
Could the FDE boom reach New Zealand? Directly, the counted roles are almost all US-based. The indirect signal is what NZ job-ad data already shows: AI skills demanded fastest in ICT, marketing and consulting, with governance and integration capability growing quicker than pure build skills.
— CJ Murden, editor of Singularity.Kiwi. Former digital technologies teacher, author of AI-focused books. Writing with a New Zealand focus.
