$150,000Average salary
$150,000Annual benchmarkSalaries in United States2026 Salary Report
AI Engineer salary in United States.
The AI Engineer role plans and delivers work in the ai engineer discipline using clear goals, evidence, and accountable execution. Professionals in this position turn ambiguous needs into reviewable work, coordinate the people affected by it, and improve results through evidence such as model quality, latency, reliability, safety, adoption, and inference cost. For United States, this report combines salary benchmarks in USD with modeled assumptions for a 24% tax rate, 0 days of annual leave, and a 100.0 cost-of-living index relative to the United States baseline.
$150,000Estimated annual average
$9,500Estimated monthly take-home
$46.88–$111.78Hourly equivalent range
10 Aug 2026Last benchmark update
Compensation overview
One role, four useful reference points.
Salary ranges reflect different experience levels. Actual offers can vary with company size, industry, location, contract type, specialized skills, benefits, equity, and negotiation.
High accuracy3202 recent job listings and community reports shaped this estimateUpdated 10 Aug 2026
Junior
$94,500–$119,0000-2 yearsMid-level
$118,100–$179,6003-5 yearsSenior
$185,900–$259,1006+ yearsEarnings breakdown
Monthly take-homeEstimated after an average 24% tax rate
$9,500Hourly equivalentBased on a standard 40-hour week
$46.88–$111.78Potential annual bonusIllustrative 10–15% performance range
$15,000–$22,500Planning reference
Monthly savings target36% illustrative allocation
$4,500Retirement contribution17% illustrative allocation
$2,100Housing budgetIllustrative 20% monthly ceiling
Up to $2,500Emergency fundThree to six months of gross income
$37,500–$75,000Healthcare infrastructure
Private-market healthcare estimateIllustrative annual allowance for medical, dental, and vision insurance in a private-tier employment or contractor market
≈ $9,000/year
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12-month trend
How the estimate has moved.
The estimated average changed by 0.1% over the displayed period, moving from $149,900 to $150,000.
| Period | Annual | Hourly |
|---|---|---|
| Aug 2026 | $150,000 | $47–$112 |
| Jul 2026 | $150,500 | $47–$112 |
| Jun 2026 | $159,200 | $50–$119 |
| May 2026 | $153,000 | $48–$114 |
| Apr 2026 | $151,600 | $47–$113 |
| Mar 2026 | $146,600 | $46–$109 |
| Feb 2026 | $153,000 | $48–$114 |
| Jan 2026 | $153,700 | $48–$115 |
| Dec 2025 | $156,900 | $49–$117 |
| Nov 2025 | $144,300 | $45–$108 |
| Oct 2025 | $149,700 | $47–$112 |
| Sep 2025 | $149,900 | $47–$112 |
Current opportunities
Move from research to the live market.
These current remote openings provide additional context for titles, employers, and the way this role appears in active hiring.
Career profile
What shapes success in this role.
Education is only one signal. Skills, tools, collaboration habits, work environment, and continued learning often have equal influence on compensation and progression.
Experience and baseline requirements
Typically 4-7 years of directly relevant experience supported by evidence of independent, high-impact delivery
Required skills
Education requirements
A degree in computer science, machine learning, mathematics, or equivalent applied experience
A portfolio showing model evaluation, data handling, and production implementation
Training and development
Data quality workshops
MLOps deployment labs
Model evaluation and red-team exercises
Responsible AI and governance training
Production inference optimization
Core skills
Trending and emerging skills
Key responsibilities
Own the planning and delivery of work in the AI Engineer remit, from initial problem definition through measurable follow-up
Apply domain expertise to role-specific decisions while balancing quality, speed, risk, and stakeholder expectations
Define practical success measures and review progress against model quality, latency, reliability, safety, adoption, and inference cost
Investigate problems using relevant qualitative and quantitative evidence before recommending action
Coordinate dependencies and decisions with adjacent teams, escalating material risks early and clearly
Create concise documentation so methods, assumptions, decisions, and handoffs can be reviewed and reused
What can increase compensation
Model and data complexity
Production deployment experience
Evaluation, safety, and governance expertise
Inference performance and cost ownership
Domain-specific AI knowledge
Ability to connect research with product outcomes
Typical career path
Work specifics
Cross-functional AI product team combining experimentation with production engineering and documented model governance
Partners with data, product, legal, security, and platform teams to move models into reliable use
Usually asynchronous, with scheduled overlap for planning, reviews, customer needs, or incident response
Python
PyTorch
Hugging Face
MLflow
Docker
Git
Cloud ML platforms
Common and additional benefits
Remote Work Options
Flexible Hours
Home Office Allowance
High-end Hardware Budget
Learning & Development Stipend
Mental Health Support
Coworking Space Access
Internet Allowance
Similar positions
Market intelligence
Demand beyond the salary range.
Compensation is influenced by hiring pressure, growth, remote availability, industry demand, and the scarcity of relevant skills.
High
Current hiring-demand signal for this role across the tracked market.
20% annual growth
Estimated direction of role demand and compensation opportunity.
High
Transition to distributed team structures with emphasis on cross-timezone collaboration and cultural awareness
Key industries
Cross-country pay scale
See how the same role changes by market.
These comparisons apply Jobicy’s country multipliers to the same role model. Differences reflect market context rather than currency conversion alone.
UAE
Austria
Australia
Belgium
Canada
Switzerland
Germany
SpainQuestions answered
Frequently asked questions.
Quick answers about salary, hourly rates, skills, market outlook, and benefits for this role.
What is the average AI Engineer salary in United States?
The estimated average annual salary is $150,000. Junior roles are estimated at $94,500–$119,000, while senior roles are estimated at $185,900–$259,100.
What is the hourly rate for this role?
The estimated hourly equivalent is between $46.88 and $111.78 based on a standard full-time schedule. Contract rates may differ.
Which skills are most relevant?
Core skills include Python, Machine learning, Model evaluation, Data preparation, Experiment design. Trending and emerging requirements include Model observability, Large language models, Retrieval-augmented generation, MLOps, Vector search.
What is the market outlook?
Jobicy currently classifies demand as High, with a growth signal of 20% annual growth. Availability differs by industry, country, and employer.
Are these salary estimates guaranteed?
No. The figures are informational benchmarks based on market evidence and economic adjustments. Actual compensation depends on experience, skills, location, employer, contract type, benefits, and negotiation.
Methodology
How this estimate is prepared.
Each Jobicy salary benchmark is produced from our own analysis of compensation signals for this role and market. The estimate is designed as a practical reference, not a guaranteed offer.
Jobicy market sample
We analyze up to 1,000 recent and relevant job listings for AI Engineer in United States, using disclosed pay ranges and other compensation signals available in the listings.
Local market calibration
Observed compensation signals are normalized for United States and reviewed across experience levels, currency, work arrangements, and local market conditions.
Anonymous community signals
Anonymous salary information and estimate feedback submitted by Jobicy users through our salary form are used as additional signals when reviewing and refreshing the benchmark.
Jobicy data and disclaimer
This benchmark is a Jobicy estimate based on our analysis of recent job-market compensation signals for AI Engineer in United States, including a sample of up to 1,000 relevant job listings and anonymous salary signals submitted by users. It is not copied from BLS, Eurostat, ILOSTAT, OECD, the World Bank, or another third-party salary database. Actual compensation can vary by experience, employer, location, contract type, benefits, equity, and negotiation. Salary and financial calculations are informational only and do not constitute financial, legal, or tax advice. Read the full methodology →
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