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Entry Level Ai Engineer Jobs (NOW HIRING)

Simulmedia

AI Product Specialist

New York, NY · On-site

... entry-level AI Product Specialist to join our Product organization. This role is about people and adoption first. You'll help teams across the whole company, not just Product and Engineering ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... programming languages commonly used in AI applications (Python, JavaScript) Experience taking ...

Simulmedia

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

... entry-level AI Product Specialist to join our Product organization. This role is about people and adoption first. You'll help teams across the whole company, not just Product and Engineering ...

Pwc

AI Engineer / Data Scientist, AI Senior Associate

New York, NY · On-site

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will apply data, algorithms, and software engineering to build and deploy AI and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer / Data Scientist, AI Senior Associate

Stamford, CT · On-site

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will apply data, algorithms, and software engineering to build and deploy AI and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer / Data Scientist, AI Senior Associate

Chicago, IL · On-site

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will apply data, algorithms, and software engineering to build and deploy AI and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer / Data Scientist, AI Senior Associate

Dallas, TX · On-site

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will apply data, algorithms, and software engineering to build and deploy AI and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ai Engineer information

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$30K

$69.4K

$118K

How much do entry level ai engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level ai engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and tools like Python or TensorFlow. While prior experience is not always mandatory, having relevant coursework, projects, or certifications can improve chances of securing such roles. Employers may also provide on-the-job training for candidates with strong problem-solving skills and a willingness to learn.

Is AI taking entry level ai engineer jobs?

Entry-level AI engineer jobs are growing as companies invest in artificial intelligence and machine learning technologies. However, competition remains high, and candidates with skills in programming, data analysis, and familiarity with tools like Python and TensorFlow have better prospects. Staying updated with industry trends and gaining relevant certifications can improve job opportunities in this field.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.
More about Entry Level Ai Engineer jobs
What cities are hiring for Entry Level Ai Engineer jobs? Cities with the most Entry Level 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 Entry Level Ai Engineer jobs? States with the most job openings for Entry Level Ai Engineer jobs include:
What job categories do people searching Entry Level Ai Engineer jobs look for? The top searched job categories for Entry Level Ai Engineer jobs are:
Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

AI Engineer / Data Scientist, AI Experienced Associate

Pwc

New York, NY • On-site

$63K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, we're seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you'll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You'll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products.
In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. Embrace the opportunity to grow in a fast-paced environment, adapting to diverse challenges and contributing to innovative solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making processes
- Collaborating with cross-functional teams to integrate AI solutions into existing platforms
- Conducting data wrangling and preprocessing to prepare datasets for analysis
- Applying advanced algorithms to enhance the performance of AI models
- Building and deploying software systems that leverage AI and machine learning technologies
- Analyzing complex data sets to identify patterns and trends that inform business strategies
- Supporting client engagements by delivering quality work and adapting to diverse project requirements
- Engaging in continuous learning to deepen technical skills and knowledge in AI engineering
- Upholding professional and technical standards while contributing to team success
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning techniques
- Excelling in client support within fast-paced environments
- Adapting quickly to diverse client needs and project scopes
- Building a personal brand through consistent quality work
- Utilizing analytical skills to discern patterns and insights

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $63,000 - $141,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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