What does total compensation look like for a AI Analytics Engineer in Austin?

Equity grants typically represent 10 to 20% of base salary at growth-stage companies. Base salaries in Austin range from $111,000 to $191,000.

What is the cost of living adjusted AI Analytics Engineer salary in Austin?

Austin's COL multiplier is 1.03x. The median AI Analytics Engineer salary of $146,000 here equals about $141,748 in an average cost market.

How do I negotiate a AI Analytics Engineer salary in Austin?

AI Analytics Engineers in Austin earn $111,000 to $191,000. Anchor your ask near the 75th percentile to land at the median.

What is the hiring process like for AI Analytics Engineers in Austin?

AI Analytics Engineer hiring in Austin involves 3 to 5 rounds over 2 to 4 weeks. Prepare with company research and Orbyt's Interview Prep tool.

AI Analytics Engineer.

Austin.

$146,000

median salary, 3% above the national average

$111,000 to $191,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what AI Analytics Engineers actually make in Austin: $111,000 at the 25th percentile, $146,000 at the median, and $191,000 at the 75th. That is 3% above the national average. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$111,000

per year

Median

$146,000

per year

75th Percentile

$191,000

per year

Tap to place your salary

$111,000$191,000

How Austin compares

Austin, TX

$146,000

Cost of living: 3% above average

National Average

$142,000

Austin is $4,000 above

What you should know

If you are interviewing for AI Analytics Engineer roles in Austin, here is what you are walking into. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth. Experience with experiment tracking, model monitoring, and A/B testing frameworks adds 10 to 15% to compensation. Companies in fintech and healthcare pay above-market rates for this role.

Junior AI analytics engineers start at $108,000 to $125,000. Mid-level engineers with 3 to 5 years reach $142,000 to $185,000. Senior analytics engineers earn $190,000 to $240,000, while analytics engineering managers and directors of ML analytics can command $250,000 to $320,000. In Austin, cost of living sits near the national average, so the numbers you see are roughly what you keep.

Base salary is not the full picture. Equity grants typically represent 10 to 20% of base salary at growth-stage companies. Annual bonuses range from 8 to 15%. Some firms offer profit-sharing arrangements, and remote work flexibility is common, though Bay Area-based roles pay 20 to 30% more. And on the tax side: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $146,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for AI Analytics Engineers in Austin runs from $111,000 to $191,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in Austin

TechnologySemiconductorsClean EnergyHealthcareGovernment

Negotiating in Austin

Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher.

Common questions.

AI analytics engineers earn 8 to 15% more than general analytics engineers due to their specialized focus on ML metrics, model performance tracking, and experiment analysis. The premium reflects the additional technical knowledge required to work effectively with data science teams.

Proficiency in dbt, Looker, and Snowflake forms the foundation, but experience with ML-specific tools like Weights and Biases, MLflow, and Great Expectations commands salary premiums. Python proficiency for custom analytics on model performance data is increasingly expected.

Equity grants typically represent 10 to 20% of base salary at growth-stage companies. Annual bonuses range from 8 to 15%. Some firms offer profit-sharing arrangements, and remote work flexibility is common, though Bay Area-based roles pay 20 to 30% more. In Austin's market, the base range of $111,000 to $191,000 is just the starting point for negotiation.

Austin's cost of living multiplier is 1.03x the national average. The adjusted median AI Analytics Engineer salary of $146,000 accounts for this. In practice, a AI Analytics Engineer earning $146,000 in Austin has roughly the same purchasing power as someone earning $141,748 in an average cost market.

Lead with data: AI Analytics Engineers in Austin earn $111,000 to $191,000, so anchoring your ask near $191,000 gives room to land at the median. Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. Never accept the first number without a conversation.

AI Analytics Engineer hiring in Austin typically involves three to five rounds: a recruiter screen, a technical or skills assessment, one or two team interviews, and a final conversation with leadership. Companies in Austin's Technology sector may add domain specific evaluations. The process usually takes two to four weeks. Prepare by researching the company and practicing with Orbyt's Interview Prep tool.