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Entry Level Ai Engineer Jobs in Riverside, CA (NOW HIRING)

CTIO-AI Engineer-Sr Associate

Irvine, CA · On-site

$55K - $187K/yr

... Analytics Engineering team you will develop and implement AI solutions that enhance product ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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

We are seeking both entry-level and mid-level (Level II) Controls Engineers to join a growing ... Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

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Entry Level Ai Engineer information

See Riverside, CA salary details

$31.3K

$72.4K

$123.1K

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

As of Jun 9, 2026, the average yearly pay for entry level ai engineer in Riverside, CA is $72,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $81,900.00 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.

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.
What are the most commonly searched types of Ai Engineer jobs in Riverside, CA? The most popular types of Ai Engineer jobs in Riverside, CA are:
What are popular job titles related to Entry Level Ai Engineer jobs in Riverside, CA? For Entry Level Ai Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Engineer jobs in Riverside, CA look for? The top searched job categories for Entry Level Ai Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Ai Engineer jobs? Cities near Riverside, CA with the most Entry Level Ai Engineer job openings:
Infographic showing various Entry Level Ai Engineer job openings in Riverside, CA as of May 2026, with employment types broken down into 1% Locum Tenens, 71% Full Time, 18% Part Time, 1% Temporary, and 9% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $72,363 per year, or $34.8 per hour.
CTIO-AI Engineer-Sr Associate

CTIO-AI Engineer-Sr Associate

Pwc

Irvine, CA • On-site

$55K - $187K/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 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will develop and implement AI solutions that enhance product offerings. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain elevated professional standards while building meaningful client relationships.
Responsibilities
- Build and nurture meaningful relationships with clients
- Utilize advanced analytical techniques to drive innovation
- Work with cross-functional teams to achieve project goals
- Uphold the firm's ethical standards and recommended practices
What You Must Have
- Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- 3 years of professional experience developing AI/ML systems or integrating AI into products
What Sets You Apart
- Master's Degree preferred
- Possessing advanced proficiency in prompt engineering
- Demonstrating experience deploying LLMs into production
- Designing and optimizing RAG pipelines
- Leading technical discovery in fast-paced environments
- Collaborating effectively with cross-functional leaders
- Advocating for responsible AI principles
- Contributing to AI research or open-source communities
- Demonstrating knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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