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Ai Engineer Salary In Jobs in Pooler, GA (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Savannah, GA · Remote

$80 - $110/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior ...

GDIT

Network Engineer Lead

Fort Stewart, GA · On-site

$76K - $89K/yr

Rather, salary will be set based on experience, geographic location and possibly contractual ... We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud ...

Accura Engineering

Transportation Engineer

Savannah, GA · On-site

$72K - $95K/yr

Atlanta, GA Salary: Based on experience and will be discussed with manager in interview Position Overview: We are seeking a skilled and motivated Transportation Engineer with 5 to 10 years of ...

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All JobsAi Engineer Salary In JobsAi Engineer Salary In Jobs in Pooler, GA

Ai Engineer Salary In information

See Pooler, GA salary details

$35.4K

$92.4K

$124.9K

How much do ai engineer salary in jobs pay per year?

As of Aug 25, 2026, the average yearly pay for ai engineer salary in in Pooler, GA is $92,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $105,800.00 per year, depending on experience, location, and employer.

What is the difference between Ai Engineer Salary In vs Data Scientist?

AspectAi EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, R&D labs, AI startupsResearch firms, tech companies, finance, healthcare
Employer & Industry UsageDeveloping AI models, deploying AI solutionsAnalyzing data, building predictive models

Both roles require strong technical skills and similar educational backgrounds. Ai Engineers focus on developing and deploying AI systems, while Data Scientists analyze data to inform decisions. Salary differences depend on experience, location, and industry demand.

Do I need a degree to be an AI engineer?

While a degree in computer science, data science, or related fields is common for AI engineers, it is not always mandatory; practical skills, experience with programming languages like Python, and knowledge of machine learning frameworks are highly valued. Many successful AI engineers are self-taught or have gained expertise through online courses, certifications, and hands-on projects.

How much money do AI engineers make?

AI engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow can command higher salaries, often exceeding $200,000.

Is AI engineer a high paying job?

AI engineers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Salaries can vary based on experience, location, and industry, but overall, AI engineering is considered a well-compensated profession in the tech field.

What cities near Pooler, GA are hiring for Ai Engineer Salary In jobs?

Cities near Pooler, GA with the most Ai Engineer Salary In job openings:

Ai Engineer Salary In jobs near you
Infographic showing various Ai Engineer Salary In job openings in Pooler, GA as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $92,444 per year, or $44.4 per hour.

Senior Manufacturing Advisor - Operations/Production/Plant Manager

Savannah, GA • On-site

SaaS Expert
See more jobs at SaaS Expertexternal

Full-time

Re-posted 27 days ago

Job description

ABOUT US:

Intangible Partners builds practical AI-powered systems that help growing manufacturing companies lift operational efficiency, reduce manual work, and unlock real business value. Our approach starts with understanding real processes, identifying high-impact opportunities, and deploying custom AI agents that deliver measurable results.

We have scaled products from zero to massive adoption, raised venture capital, and turned complex technology into tools customers gladly pay for.


APPLICANT QUALIFICATION QUESTIONS:

* Do you have 2 years+ experience in manufacturing?

* Do you have Manufacturing Leadership Experience? (Operations, Production or Plant)

* Are you familiar with the day-to-day operations and struggles of a typical small to mid-sized manufacturer?


REQUIREMENTS:

* 2+ Years in a Manufacturing Leadership Role

* High Performance Competitive Drive

THE ROLE:

As a Senior Manufacturing Operations Advisor, you will work directly with owners, presidents, and general managers inside high-mix, RFQ-driven manufacturing environments.

Your role is to do what you have done your entire career - just at a much higher level of impact:

* Diagnose where operations are leaking time, money, and trust.

* Identify the real causes behind late orders, margin bleed, and chaos.

* Serve as a trusted operational peer - not a salesperson, not a software pusher.

You will not be "selling AI." You will be helping manufacturers finally fix the problems they have been managing around for years.

And no - you do not need to be an AI engineer.

We have world-class technical talent building the systems. Your value is judgment, credibility, and operational truth.


WHO IS THIS FOR:

This role is for operators who have learned manufacturing the hard way - by living it.

You will thrive here if you deeply understand:

* How production actually breaks under pressure

* Why ERP and automation projects so often fail

* Where spreadsheets quietly destroy margin and visibility

* How change really happens on a shop floor and why forcing it never works

If you have spent years:

* Running plants

* Fixing broken schedules

* Protecting margins in messy environments

* Holding operations together with duct tape, grit, and experience

This role lets you apply that hard-earned expertise to transform manufacturing at scale - without owning the day-to-day firefighting anymore.


COMPENSATION & GROWTH:

This position has no caps on earning.

Your impact, relationships, and results directly shape your upside.

More importantly, this role offers something rare:

* Respect for your experience

* Exposure to elite technical talent

* A seat at the forefront of how AI reshapes manufacturing - the right way


FINAL THOUGHTS:

Manufacturing is entering a once-in-a-generation transition.

AI will either be layered on top of broken systems or guided by people who understand how plants truly operate.

This role exists for the second kind of leader.