AI engineering salary in 2026: pay by level, country and source

The typical AI engineering salary in the US is about $156,000 a year in total compensation, going by the Levels.fyi AI engineer page (updated 1 to 2 November 2026). That's base pay plus stock plus bonus, and the middle half of reported packages runs from $110,000 to about $212,000. Outside the US the numbers drop a lot: the UK median on Levels.fyi is £79,738, Germany's is €80,962 and India's is ₹17,79,898.

Those are medians from 339 self-reported US salaries, though, and the spread around them is wide. I think the more useful question isn't "what's the average?" but which slice of the market you'd actually land in. That depends on your level, your country, the employer's stock plan and, oddly, the job title on the offer letter.

Every figure below comes from a named source, checked in late October and early November 2026.

AI engineering salary: the short answer

Here's the short version. In the US, a mid-market AI engineer earns roughly $110,000 to $212,000 in total compensation, with $156,000 as the median on Levels.fyi's November 2026 data. Base salary alone is lower. Glassdoor's average AI engineer base is $160,347 and ZipRecruiter's is $128,769, both as quoted in Millersville University's 2026 salary guide. (Glassdoor blocked our page reader, so I couldn't confirm its figure directly.)

That's the same $156,000 median we used in our guides to AI engineer remote jobs and AI engineer courses. It hasn't moved since those went up.

Base, stock and bonus: the pay model behind the number

Salary sites disagree mostly because they measure different things. Levels.fyi counts total compensation: base salary, plus stock valued at what vests in a year, plus bonus. BLS wage data counts base pay, tips and production bonuses, but leaves out stock compensation entirely.

That matters. At a public tech company, stock can be a third or more of the package, so the two sources can look $50,000 apart for the same person.

There's also a title problem. "AI engineer" is a young label that often means someone building products on top of large language models (if you want the background, our explainer on how LLMs work covers it). "Machine learning engineer" is the older title for people who train and serve models, and it's used heavily at big tech firms. On Levels.fyi the gap between them is huge:

The machine learning engineer median of $283,000 is nearly double the AI engineer figure. My guess is that it's mostly a sample effect: ML engineer reports skew towards Google, Meta and similar employers with large stock grants, while "AI engineer" shows up more at banks, consultancies and startups. Same skills, different employers. I wouldn't read it as proof that one title pays better for identical work.

The BLS doesn't track "AI engineer" as its own occupation. Its closest match, computer and information research scientists, had a May 2025 median of $140,300, with the 10th percentile at $82,200 and the 90th at $230,630 (figures from the BLS OEWS survey as compiled by WageDex, since the BLS site blocked our reader).

AI engineer salary by level

Level matters more than title. On the Levels.fyi percentiles, a 25th-percentile AI engineer makes $110,000 and a 90th-percentile one makes about $282,000; most of that spread is seniority and employer.

For entry-level roles (0 to 2 years), the Millersville guide puts US base pay at $100,000 to $135,000, rising to $115,000 to $135,000 in hubs like San Francisco and New York. For senior engineers with 7 or more years, it cites Axiom Recruit at $250,000 to $350,000+ in total compensation. Those are recruiter and aggregator figures, so treat them as ranges, not promises.

Big tech is a different scale. Levels.fyi's Google software engineer ladder (every specialism, AI included) shows these medians:

Honestly, the L3 number surprised me: an entry-level Google engineer out-earns the 75th-percentile AI engineer across the whole market. That tells you how much of "AI salary" is really "big tech salary".

AI engineer salary by country

Pay outside the US is far lower in absolute terms. These are Levels.fyi medians in local currency, updated 1 and 2 November 2026; I haven't converted them because exchange rates move and the local figure is what you'd negotiate in.

Look at the sample sizes. The UK figure rests on 43 reports, which is thin; a handful of London fintech offers could move it by thousands of pounds. Germany is interesting because the AI and ML medians sit close together (€80,962 against €88,566), which fits my guess that the US gap is about who reports, not what the work is.

Real examples: a worked offer comparison

Medians don't tell you which offer to take. Here's one worked example with made-up but realistic numbers, the kind of choice a mid-level engineer might face.

• Offer A, a public tech company: $175,000 base, $60,000 a year in stock vesting over four years, 10% target bonus ($17,500). Total: $252,500.
• Offer B, a well-funded startup: $190,000 base, startup options with no public price, 0% bonus. Cash total: $190,000.
• Offer C, a bank's AI team: $165,000 base, no stock, 20% bonus ($33,000). Total: $198,000.

On paper A wins by about $54,000. But its stock is only worth $60,000 a year if the share price holds, and many grants have a one-year cliff, so you'd get none of it if you left after eleven months. B's options might be worth nothing or a lot. C is the most predictable, provided the bonus actually pays at target.

All three sit above the $156,000 median, which is the point: the median describes the whole market, including many smaller employers, not the offers that tend to get posted online.

Benefits and limitations of the salary data

Each source has a useful side. Levels.fyi says it checks submissions against offer letters and W-2s, and it breaks pay into base, stock and bonus, which is what you need when you're comparing offers. BLS data is a large employer survey (about 37,200 jobs for this one occupation), so it's harder to skew.

The limits are real, though:

• Levels.fyi is self-reported and skews towards well-paid tech workers who like comparing pay.
• Small country samples (43 in the UK) can swing on a few entries.
• BLS has no "AI engineer" category, and its latest national data is May 2025.
• Glassdoor and ZipRecruiter averages are base-only and come from job ads and user reports that aren't verified the same way.
• Stock values are snapshots; a falling share price shrinks last year's package after the fact.

So use at least two sources and know what each one counts.

Practical takeaways for you

If you're trying to work out what you should earn, I'd start by deciding which market you're really in: big tech, a funded startup, or a company where AI is one team among many. They pay on different scales, and mixing them gives you a median that fits nobody.

Then ask for the band. Many US employers now post pay ranges, and remote roles may apply a location adjustment; our remote jobs guide works through what a 15% cut does to an offer.

Ask whether the stock figure is a four-year total or an annual one, too. Recruiters quote both.

If you're still getting into the field, the entry-level numbers ($100,000 to $135,000 base in the US, per Millersville) assume you can already ship something. Our pieces on AI jobs and how to become an AI engineer cover the route in. I'd put more effort into a public project than into a third certificate.

The outlook for 2027

Demand still looks strong. PwC's 2026 Global AI Jobs Barometer, published on 15 June 2026 after analysing more than a billion job ads in 27 countries and territories, found the average wage premium for AI skills rose to 62%, up from 57% the year before. Jobs needing specific AI skills grew 69%, against 9% for the jobs market overall.

Newcomers face a tougher picture: PwC found AI-exposed US entry-level roles are seven times more likely to ask for senior-type skills. I'd expect fewer true junior jobs.

Will the $156,000 median keep climbing? I'm not sure. The AI and ML titles may merge as the market matures, which could drag the AI engineer median up towards the ML number without anyone getting a raise. I'd check the Levels.fyi page again in six months rather than trust any forecast, mine included.

FAQ

What is the average AI engineering salary in the US?

The median AI engineer total compensation in the US is $156,000 on Levels.fyi (November 2026), with the middle half of packages between $110,000 and about $212,000. Base-only averages are lower or similar: $160,347 on Glassdoor and $128,769 on ZipRecruiter, as quoted by Millersville University in 2026.

How much does an entry-level AI engineer make?

Millersville University's 2026 guide puts US entry-level AI engineers (0 to 2 years) at $100,000 to $135,000 in base salary, and $115,000 to $135,000 in hubs like San Francisco or New York. Big tech pays more: Google's L3 median on Levels.fyi is $208,524 in total compensation.

Do machine learning engineers earn more than AI engineers?

On Levels.fyi, yes: the US median is $283,000 for machine learning engineers against $156,000 for AI engineers. Much of that gap probably comes from who reports under each title, since ML engineer data leans towards large tech firms with big stock grants. In Germany the two medians are only about €7,600 apart.

How much do AI engineers earn in the UK and India?

Levels.fyi lists a UK AI engineer median of £79,738 (43 reports) and an India median of ₹17,79,898 (205 reports) in total compensation, both updated in early November 2026.

Is AI engineering still a well-paid career?

The data says yes for now. PwC's 2026 Global AI Jobs Barometer found a 62% average wage premium for AI skills, up from 57% a year earlier, and the BLS median for the closest occupation is $140,300 before any stock. Even the 25th percentile on Levels.fyi, $110,000, is well above most professional pay. But entry-level openings increasingly ask for senior-type skills like judgement and leadership, so getting the first job may be harder than the pay figures suggest.