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Ai Engineer Salary Jobs in Decatur, GA (NOW HIRING)

Senior Associate, AI Engineer

Atlanta, GA ยท On-site

$53.25 - $68.50/hr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice ... Any offered salary is determined based on relevant factors such as applicant's skills, job ...

Sr Advanced AI Engineer

Atlanta, GA ยท On-site

$100K - $138K/yr

As a Senior Advanced AI Engineer, you will design, develop, and deploy AI-driven solutions for ... In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with ...

... AI workflows, and in the tools their teams already use. As our Senior Data Engineer, you will ... The base salary for this position ranges between $160,000 - $170,000 USD. Base salary will vary ...

New

Applied AI Engineer, Founding Team

Atlanta, GA ยท On-site

$73K - $218K/yr

Minimum of 5 years experience in software engineering, AI/ML, or enterprise technology * Minimum of ... Employee Benefits | Accenture Role Location Annual Salary Range California $73,800 to $218,800 ...

NGA AI Engineer Manager

Atlanta, GA ยท On-site

$73K - $244K/yr

... Engineering team you will lead the development of innovative AI solutions that drive remarkable ... For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual ...

... in AI/ML engineering, data science, or a related technical role What Sets You Apart - Master ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

AI-Native Software Engineer

Atlanta, GA ยท On-site

$112K - $176K/yr

AI-Native Software Engineer AI-Native Software Engineer PLEASE NOTE: This position is not eligible ... The salary offered for this specific position is based on a number of legitimate, non ...

AI-Native Software Engineer

Atlanta, GA ยท On-site

$112K - $176K/yr

AI-Native Software Engineer AI-Native Software Engineer PLEASE NOTE: This position is not eligible ... The salary offered for this specific position is based on a number of legitimate, non ...

Senior Platform Engineer - AI

Atlanta, GA ยท On-site

$100K - $138K/yr

AI-Centric DevOps : Developing specialized CI/CD pipelines and automated testing frameworks ... Communication and teamwork skills The US base salary range for this full-time position is between ...

AI-Native Software Engineer

Atlanta, GA ยท On-site

$112K - $176K/yr

AI-Native Software Engineer PLEASE NOTE: This position is not eligible for current or future visa ... The salary offered for this specific position is based on a number of legitimate, non ...

In addition to base salary, this role may be eligible for additional compensation such as variable ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Showing results 21-40

Ai Engineer Salary information

See Decatur, GA salary details

$38.1K

$99.3K

$134.2K

How much do ai engineer salary jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai engineer salary in Decatur, GA is $99,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $113,700.00 per year, depending on experience, location, and employer.

What is the average salary of an AI engineer?

The average salary of an AI engineer varies depending on factors such as location, experience, and company size. In the United States, AI engineers typically earn between $100,000 and $160,000 per year, with experienced professionals or those working at leading tech companies earning even more. Entry-level positions may start at a lower range, while senior AI engineers or those with specialized skills can command higher salaries. Additionally, benefits and bonuses can significantly increase total compensation.

Do AI engineers make good money?

AI engineers typically earn high salaries due to the specialized skills required, such as machine learning, deep learning, and programming in Python or TensorFlow. Salaries vary based on experience, location, and industry, but they generally offer competitive compensation compared to other tech roles.

What are some common challenges AI engineers face in a collaborative work environment?

AI Engineers often collaborate with data scientists, software developers, and product managers, which can present challenges such as aligning on project goals, managing differing technical perspectives, and ensuring effective communication. Navigating these complexities requires strong teamwork and adaptability, as AI projects often evolve rapidly. Additionally, integrating AI solutions into existing systems while meeting deadlines can be demanding, but these challenges also provide valuable opportunities for professional growth and skill development.

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

AspectAi Engineer SalaryData Scientist Salary
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDeveloping AI models, deploying ML solutionsAnalyzing data, building predictive models

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

What are the key skills and qualifications needed to thrive as an AI engineer?

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, statistics, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and often certifications in AI or data science are important technical assets. Creative problem-solving, collaboration, and continuous learning are vital soft skills for adapting to evolving technologies and working with cross-functional teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive innovation and business value.

Do I need a degree to be an AI engineer?

A degree is not strictly required to become an AI engineer, but many employers prefer candidates with a bachelor's or higher in computer science, data science, or related fields. Practical skills in programming, machine learning frameworks, and data analysis are often more important, and certifications or self-directed projects can also demonstrate expertise.
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Senior Associate, AI Engineer

KPMG

Atlanta, GA โ€ข On-site

$53.25 - $68.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice.
Responsibilities:
  • Develop GenAI / LLM applications and integrations using foundational models under the guidance of senior team members
  • Develop and test AI models, conversational agents, and workflow automation components under the guidance of senior team members
  • Assist with data preparation, transformation, and validation to support AI/ML model training and deployment
  • Configure and integrate AI solutions into enterprise applications (CRM, ERP, collaboration tools) using cloud platforms
  • Document processes, code, and technical workflows to support knowledge sharing and project continuity; collaborate with project teams to troubleshoot technical issues and ensure solutions meet client requirements
  • Stay current on emerging AI tools and frameworks, experimenting and applying them to real-world client projects
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:
  • Minimum three years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies
  • Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field; Master's degree from an accredited college or university a plus
  • Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI)
  • Proficiency in Python or another programming language commonly used in AI/ML
  • Familiarity with conversational AI frameworks (LLM's, chatbots, virtual assistants, agents) and APIs
  • Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment
  • Ability to travel as required
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M126ADV_4_26
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.