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Associate Ai Engineer Jobs (NOW HIRING)

KPMG is currently seeking an Associate, AI Engineer to join our Advisory Services practice. Responsibilities: * Develop GenAI / LLM applications and integrations using foundational models under the ...

Associate AI Engineer

Edison, NJ · Remote

$69K - $124K/yr

The position is responsible for designing, building, deploying, and maintaining enterprise-grade Agentic AI solutions under the direction of an Sr. AI Engineer. This role focuses on implementing ...

Associate AI Engineer

Chicago, IL · On-site

$85K - $144K/yr

Forward-Deployed AI Engineer Morningstar's mission is to empower investor success. The Direct Platform team does this by creating products that help financial professionals, and the investors they ...

New

Role Overview We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in real-world advisor workflows. This role is embedded in our discovery team, working alongside Product ...

Azure AI Engineer Associate (AI-102) * Microsoft Certified: Azure Developer Associate (AZ-204) * Microsoft Certified: Azure Solutions Architect Expert (AZ-305) * Microsoft Certified: Azure Data ...

Senior Associate, AI Engineer

Washington, DC · On-site +1

$87K - $188K/yr

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 ...

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

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 ...

Senior Associate, AI Engineer

Atlanta, GA · On-site +1

$87K - $188K/yr

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 ...

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Associate Ai Engineer information

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$41.5K

$82.6K

$132K

How much do associate ai engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for associate ai engineer in the United States is $82,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $95,000.00 per year, depending on experience, location, and employer.

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer, and why are they important?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

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

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.
More about Associate Ai Engineer jobs
What cities are hiring for Associate Ai Engineer jobs? Cities with the most Associate Ai Engineer job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
What states have the most Associate Ai Engineer jobs? States with the most job openings for Associate Ai Engineer jobs include:
Infographic showing various Associate Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $82,636 per year, or $39.7 per hour.

Associate, AI Engineer

KPMG

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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 an 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 one 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=M179ADV_6_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.