How much does an AI engineer make in the US?
There is no single honest number — the major salary databases sample different slices of the market and disagree by more than $100K. The spread itself is the most useful fact: the broad US market pays AI engineers roughly $145K–$185K in base salary, big tech pays ~$210K–$450K in total compensation, and frontier labs pay $600K–$1.15M+ at senior levels. Here's what each source reports in 2026, and why the numbers differ:
| Source | Reported figure | What it measures |
|---|---|---|
| Glassdoor (Aug 2026) | $145,070 median base · $116,534–$183,111 typical | Self-reported base pay across the broad US market |
| Built In (2026) | $184,757 avg base · $211,243 total comp | Tech-company-focused; sample skews more senior |
| Levels.fyi (2026) | ~$245K average total comp | Verified offers; includes stock + bonus, skews big tech |
| Kore1 (2026) | $145K–$310K | Real offer data across levels and cities |
| ZipRecruiter (2026) | ~$116,949 average base | Broadest employer pool incl. non-tech — runs lowest |
| BLS (May 2025) | $140,300 median | Computer & information research scientists — closest official category |
One structural note: the Bureau of Labor Statistics doesn't track "AI engineer" as its own occupation yet. The closest official categories are software developers (median $133,080) and computer and information research scientists (median $140,300, May 2025) — both projected to grow far faster than the average occupation. The AI premium on top of that baseline is real: PwC's Global AI Jobs Barometer measured a 56% wage premium for workers with AI skills in 2025, up from 25% two years earlier.
AI engineer salary by experience level
Experience is the single biggest in-company driver of pay, but the gap between the broad market and big tech widens at every rung. The total-comp column includes stock and bonus and shows how quickly frontier and big-tech packages pull away.
| Level | Broad-market base | Total comp (incl. big tech) |
|---|---|---|
| Entry / junior (0–2 yrs) | $90K–$135K base | $110K–$200K total comp — Google L3 ~$177K, OpenAI L2 ~$253K |
| Mid-level (3–5 yrs) | $140K–$210K base | $170K–$260K — big-tech mid ~$355K (Google L5) |
| Senior (6–9 yrs) | $180K–$280K base | $220K–$350K+ — frontier senior $575K–$916K |
| Staff / principal (10+ yrs) | $250K–$400K base | $350K–$800K+ — OpenAI / Google L6 ~$1.15M |
Concrete example of the widening gap: an entry-level engineer at a non-tech company might start near $90K, while their classmate who lands Google L3 starts around $177K total comp and an OpenAI L2 near $253K — a 2–3x difference on day one that compounds, because equity refreshers and level jumps stack at big tech in a way annual raises elsewhere don't. Levels are sourced from Levels.fyi, Kore1, and Glassdoor (2026).
AI engineer salary by company
Total-comp figures below are from Levels.fyi (2026), which aggregates verified offers, plus Pin's 2026 benchmark synthesis. The pattern is consistent: frontier labs pay 2–3x big-tech medians, and nearly all of the premium is equity — OpenAI grants PPUs (profit participation units), Anthropic and xAI grant private stock, all illiquid until a tender offer or liquidity event.
| Company | Total comp range | Median | Note |
|---|---|---|---|
| OpenAI | $253K (L2) – $1.15M (L6) | ~$800K | Software engineer; PPU equity is most of the package |
| Anthropic | $575K – $759K (senior/lead) | ~$620K (L5) | Private stock at a ~$965B valuation; equity 55–70% of comp |
| xAI | $450K – $900K+ | ~$640K | Early-stage RSUs; mid-frontier tier, below OpenAI/Anthropic |
| $177K (L3) – $1.15M (L6) | ~$355K (L5) | AI/ML engineer track; equity ~75% of comp at L6 | |
| Meta | $359K (E4) – $645K (E6) | ~$359K (E4) | H-1B base data — excludes stock, so real total comp runs higher |
| Amazon / Microsoft / Apple | ~$130K–$160K entry · $300K–$500K senior | — | Enterprise big tech; roughly 30–50% below frontier labs at equal level |
Treat these as point-in-time, self-reported bands rather than guarantees — frontier-lab numbers in particular move fast and depend on paper valuations. Headline outliers exist (a reported OpenAI L6 package near $1.52M), but they are the ceiling, not the norm. If the customer-facing side of lab work appeals to you, the forward-deployed AI engineer role is one of the more accessible doors into frontier-lab compensation.
AI engineer salary by location
San Francisco and New York pay roughly 30–40% above the national average, but the most durable 2026 shift is remote: US remote AI engineer pay is now benchmarked to the national median rather than discounted the way it was in 2022–2023. You can capture close-to-hub pay without hub-level rent. The table below is US-market data; roles outside the US typically pay a fraction of these figures.
| Location | Reported pay (2026) | Source |
|---|---|---|
| San Francisco Bay Area | $210K–$250K base ($246K average) | Built In / Kore1 (2026) |
| New York City | $195K–$227K base | Built In / Coursera (2026) |
| Seattle | $185K–$220K base | Kore1 / Coursera (2026) |
| Austin, TX | ~$150K base — lower pay, stronger cost-of-living | Coursera / Kore1 (2026) |
| Remote (US) | $155K–$210K — now benchmarked to national median | Kore1 / Built In (2026) |
Adjust for cost of living before comparing: roughly $180K in San Francisco buys about what $120K buys in Austin, so the headline coastal premium shrinks once rent is priced in.
AI engineer salary per month and per hour
People often search monthly and hourly equivalents, so here they are, from 2026 base-salary data:
- • Broad-market median (Glassdoor): $145,070/year ≈ $12,090/month ≈ $69.75/hour
- • Broadest pool (ZipRecruiter): $116,949/year ≈ $9,746/month ≈ $56.23/hour
- • Tech-focused average (Built In): $184,757/year ≈ $15,396/month ≈ $88.83/hour
- • Big-tech reference: a $245K median total-comp package (Levels.fyi) ≈ $20,400/month
These are gross (pre-tax) figures, and the hourly conversion assumes a standard 2,080-hour year. Freelance and contract AI engineering rates are typically higher per hour than these salaried equivalents to compensate for the lack of benefits and equity.
AI engineer vs ML engineer vs software engineer vs data scientist salary
The titles overlap heavily in job listings, but the market currently prices them differently. Using each role's most comparable 2026 figure:
| Role | Median base | Median total comp | vs baseline |
|---|---|---|---|
| AI engineer | $145K–$185K | $211K–$277K | +56% AI-skills premium (PwC) |
| ML engineer | ~$158K | ~$202K | +40% over baseline |
| Software engineer | $133K | $160K–$170K | Baseline (BLS) |
| Data scientist | ~$122K | $155K–$175K | 10–15% below AI engineer |
In practice, "AI engineer" in 2026 usually means building on foundation models — RAG systems, agents, evals, LLM integrations — while "ML engineer" leans toward training and serving models and "data scientist" toward analysis and experimentation. The AI title carries a premium right now because demand is newer than the supply of people with production LLM experience; ODSC and PwC both attribute the gap to production skills rather than titles. Whether it persists is an open question — the skills overlap far more than the pay does. If you're weighing the paths, our AI engineer skills checklist breaks down what each role actually requires.
Which skills pay the biggest premium?
Level and employer set the band; skills decide where you land inside it. The clearest 2026 signal from recruiters and compensation data: engineers who can design and ship evaluation systems pull the top of their band — golden datasets, pairwise evals, and offline plus online eval harnesses in production. Approximate premiums over a baseline ML role:
| Skill / specialization | Premium | Why it pays |
|---|---|---|
| Evaluation / evals architecture | Top of band | Golden datasets, pairwise and offline/online eval harnesses — the single biggest separator in 2026 |
| Generative AI / LLMs | +40–60% | Highest-demand specialization over baseline ML |
| RAG (retrieval-augmented generation) | +25–40% | Production retrieval systems, not demos |
| Multi-agent orchestration | +20–35% | LangGraph, Claude Agent SDK, CrewAI — now resume keywords |
| Production fine-tuning | +25–50% | Rare in practice; most 'AI engineers' only call APIs |
| MLOps / deployment | +10–20% | Stable, unglamorous, dependable premium |
Premiums stack: an engineer who ships evals and owns a production RAG system is worth far more than either skill alone. Sources: Kore1 LLM/RAG salary guides, Second Talent, and Pin (2026).
Is AI engineer pay still rising in 2026?
It rose sharply, wobbled, and is now stabilizing rather than running away. Levels.fyi's median total comp peaked near $295K in March 2024, dipped to $228K in January 2025 during a hiring recalibration, recovered to $277K by March 2025, and sits around $245K in 2026 — a ±20–30% swing that reads as the market finding a floor after the 2023–2024 hype, not a collapse.
The premium itself held: PwC's AI-skills wage premium accelerated from 25% (2023) to 56% (2025) before leveling. Even with heavy tech layoffs in early 2026 — a large share attributed to AI and automation — demand for proven AI engineers stayed intact, with reported role-per-candidate ratios well above one. The takeaway: the runaway-growth phase is over, but the premium for people who ship production AI is durable.
How to increase your AI engineer salary
The data above implies a clear playbook. Ordered by expected impact:
- Change employer tier, not just employer. The broad market → big tech → frontier lab jumps are worth ~$100K–$400K each at the same experience level — no raise negotiation compares.
- Own an evaluation system. Evals are the single biggest skill separator in 2026; engineers who ship golden datasets and offline/online eval harnesses pull the top of their band. Build production LLM evidence — RAG pipelines, agents, evals — because that's what postings screen for. The operational side is covered in our MLOps best practices guide.
- Negotiate equity, not base. At the top of the market, equity is 55–70% of the package; base bands are rigid, grant sizes are not.
- Anchor to a high-paying market. Remote US roles now benchmark to the national median — you can capture close-to-hub pay without hub-level rent.
- Level up deliberately. The entry→mid→senior→staff ladder roughly adds $100K–$250K in total comp per rung at big tech; ask what the next level requires and build against it.
If you're earlier in the journey and the skills list is the bottleneck, start with our AI engineering roadmap — it sequences the fundamentals (Python, math, ML, MLOps, LLMs/agents) that the salaries in this post are ultimately paying for. New to the field entirely? See how to become an AI engineer.
Frequently Asked Questions
What is the entry-level AI engineer salary?
Entry-level (0–2 years) AI engineers earn roughly $90K–$135K in base salary across the broad market, or $110K–$200K in total compensation depending on employer (Kore1, Glassdoor, 2026). At big tech the first rung is much higher — a Google L3 AI engineer averages ~$177K total comp and an OpenAI L2 ~$253K per Levels.fyi.
How much does an AI engineer make per month?
Using 2026 base-salary data: about $12,090/month at the Glassdoor median ($145,070/year) and about $9,746/month at ZipRecruiter's broader-pool average ($116,949/year). At big tech, a $245K median total-comp package (Levels.fyi) works out to roughly $20,400/month before taxes.
Is AI engineering a good career? Is it high paying?
Yes, on both current pay and trajectory. AI engineers out-earn the general software baseline (BLS software developers median: $133,080), PwC's Global AI Jobs Barometer measured a 56% wage premium for AI skills in 2025 (up from 25% two years earlier), and the BLS projects far-above-average growth for adjacent occupations through 2033. The main caveat: the highest packages are concentrated at a small number of companies and cities.
Which company pays AI engineers the most?
The frontier labs. Levels.fyi puts OpenAI's median software-engineer total comp near $800K (up to $1.15M at L6) and xAI's near $640K, with Anthropic senior/lead engineers at roughly $575K–$759K — mostly in equity. Among big tech, Google and Meta lead the enterprise band ($355K–$645K at senior/staff), 30–50% below the labs at equal level.
Do AI engineers earn more than ML engineers or data scientists?
Yes, modestly, in 2026. AI engineers sit at roughly $145K–$185K base / $211K–$277K total comp, ahead of ML engineers (~$158K base) and clearly ahead of data scientists (~$122K base). The premium reflects newer demand than supply for production LLM experience — but the skills overlap far more than the pay does, so the gap may narrow.
Does an AI engineer need a degree?
No hard requirement. Many postings list a CS or ML degree as preferred, but companies increasingly hire on demonstrated ability to ship AI systems to production — real projects, RAG pipelines, eval suites, deployed agents. A degree helps most for research-leaning roles at frontier labs. If you're building that evidence from scratch, a structured AI engineering roadmap plus one or two real production projects is the practical route in.
Sources
- • Glassdoor — AI Engineer salaries, United States (Aug 2026)
- • Built In — 2026 AI Engineer salary in the US
- • Levels.fyi — OpenAI Software Engineer salaries
- • Levels.fyi — Anthropic Software Engineer salaries
- • Levels.fyi — Google AI Engineer salaries
- • Levels.fyi — xAI Software Engineer salaries
- • Pin — AI Compensation Benchmarks 2026 (Levels.fyi synthesis, frontier labs)
- • Kore1 — AI Engineer Salary Guide 2026 (real offer data)
- • Coursera — AI Engineer Salary Guide 2026 (BLS/Glassdoor/Indeed compiled)
- • ODSC — AI Engineer vs Data Scientist salary in 2026
- • Second Talent — In-demand AI engineering skills & salary ranges (2026)
- • ZipRecruiter — AI Engineer salary (annual, monthly, hourly)
- • US BLS — Computer and Information Research Scientists (May 2025)
- • US BLS — Software Developers, Occupational Outlook Handbook
- • PwC — Global AI Jobs Barometer (56% AI wage premium)