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  1. Home/
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  3. AI Observability Specialist/
  4. Austin

AI Observability Specialist.

Austin.

$150,000

median salary, at the national average

$115,000 to $188,000. Last updated April 2026.

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Data points to own the conversation.

Here is what AI Observability Specialists actually make in Austin: $115,000 at the 25th percentile, $150,000 at the median, and $188,000 at the 75th. That is right at 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

$115,000

per year

Median

$150,000

per year

75th Percentile

$188,000

per year

Where do you fall?

$115,000$188,000

Salary by experience

The gap between entry and lead level is typically $135,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$98,000

to $120,000

Mid (3-5 yrs)

$128,000

to $158,000

Senior (6-9 yrs)

$165,000

to $195,000

Lead (10+ yrs)

$188,000

to $233,000

Salary trend

+8% YoY
$110,000
2022
$119,000
2023
$129,000
2024
$139,000
2025
$150,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $63,000 to the total package.

Base

$150,000

Equity

$38,000

Bonus

$16,000

Signing

$9,000

Estimated total: $213,000

How Austin compares

Austin, TX

$150,000

Cost of living: 3% above average

National Average

$150,000

Same as local rate

AI Observability Specialist salary by city

AI Observability Specialist salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Francisco, CA$207,000$158,000 – $259,0001.35x$153,000
San Jose, CA$207,000$159,000 – $259,0001.38x$150,000
Washington DC, DC$195,000$150,000 – $244,0001.25x$156,000
Honolulu, HI$195,000$150,000 – $244,0001.30x$150,000
New York, NY$194,000$149,000 – $243,0001.28x$152,000
Seattle, WA$193,000$148,000 – $242,0001.24x$156,000
Newark, NJ$182,000$140,000 – $228,0001.18x$154,000
San Diego, CA$181,000$139,000 – $227,0001.17x$155,000
Boston, MA$179,000$137,000 – $225,0001.22x$147,000
Austin, TX$150,000$115,000 – $188,0001.03x$146,000

See all 83 cities for AI Observability Specialist →

Salary by role in Austin

Salary comparison by role in Austin
RoleMedianRange
Distinguished Engineer$337,000$255,000 – $428,000
Chief AI Officer$326,000$242,000 – $420,000
VP of AI$302,000$229,000 – $395,000
AI Product Designer$151,000$115,000 – $199,000
AI Retail/Commerce Specialist$151,000$113,000 – $200,000
AI Observability Specialist$150,000$115,000 – $188,000
Program Manager$150,000$117,000 – $196,000
Generative Media Engineer$150,000$115,000 – $190,000

What you should know

Before you negotiate a AI Observability Specialist offer in Austin, understand the terrain. 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. Compensation reflects expertise in monitoring ML model performance, detecting drift, and building alerting systems for AI in production. Specialists who can design comprehensive observability stacks for LLM applications including cost tracking, quality monitoring, and latency profiling earn premiums. Experience with both traditional APM and ML-specific monitoring adds value.

Junior observability engineers start at $100,000 to $118,000. Mid-level specialists building production monitoring systems reach $140,000 to $165,000. Senior specialists designing organization-wide AI observability platforms earn $175,000 to $215,000. Directors of ML platform observability can reach $230,000 to $280,000. 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 at AI observability companies adds $20,000 to $70,000 annually. Bonuses of 10% to 15% are standard. Cloud credits for monitoring infrastructure experimentation are common. Open-source contributions to observability tooling enhance career trajectory and compensation. 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 $150,000, 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 Observability Specialists in Austin runs from $115,000 to $188,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology

Interactive

Is your offer competitive?

Enter your AI Observability Specialist offer to see where you stand in Austin.

$

25th

$115,000

Median

$150,000

75th

$188,000

Considering a related role?

  • A Design Engineer in Austin earns $149,000 (1% less)
  • The highest-paying role in Austin is Distinguished Engineer at $337,000

Common questions.

Core tools include LangSmith, Weights and Biases, Arize, and Evidently for ML-specific monitoring. Traditional observability tools like Datadog, Grafana, and Prometheus are used for infrastructure metrics. Custom dashboards combining model quality metrics, cost tracking, and latency monitoring are typically built in-house. Understanding both traditional and ML-specific observability patterns is essential.

AI systems can fail silently. A model that returns HTTP 200 with confidently wrong answers looks healthy to traditional monitoring. AI observability requires tracking output quality metrics, embedding drift, prompt template performance, and user feedback signals. The challenge is defining and measuring correctness for non-deterministic systems.

Entry level AI Observability Specialist positions in Austin typically start near $115,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $150,000. Junior observability engineers start at $100,000 to $118,000.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Equity at AI observability companies adds $20,000 to $70,000 annually. In Austin's market, these extras can add $37,500 or more on top of the base salary.

The national median for a AI Observability Specialist is $145,631. In Austin, cost of living adjustments push the median to $150,000. That premium reflects Austin's higher housing, transportation, and everyday costs.

Austin's economy is driven by Technology, Semiconductors, Clean Energy, and Healthcare. AI Observability Specialists are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

AI Observability Specialist salary in other cities

Los Angeles$173,000
Little Rock$119,000
Louisville$135,000
Las Vegas$141,000
Lexington$128,000
Miami$175,000

Other salaries in Austin

LLM Engineer$200,000
LLM Fine-Tuning Engineer$196,000
LLM Operations Engineer$161,000
Machine Learning Engineer$158,000

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Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"AI Observability Specialist Salary in Austin, TX." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-observability-specialist/austin

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