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Entry Level Ai Policy Jobs (NOW HIRING)

New York Life

Associate - AI Engineer

Manhattan, NY · On-site

$92K - $115K/yr

The AI Engineer is an entry-level engineering role designed for early-career technologists who are ... We're proud that due to our mutuality, we operate in the best interests of our policy owners. To ...

Worky

Software Engineer I - AI Agents

Redwood City, CA · On-site

$145 - $165/hr

This is an entry-level role suitable for a recent graduate or an engineer with up to three years of ... Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain ...

Lake Auto Group

Be Seen First

Entry Level Automotive Sales Consultant

Milwaukee, WI · On-site

$60K - $80K/yr

We even utilize an advanced AI receptionist and automated service scheduler to keep store ... This policy applies to all terms and conditions or employment, including recruiting, hiring ...

Kyndryl

The Role Your role The Associate AI Engineer is an entry-level technical role supporting the design ... policies. Those who believe they are eligible may apply for a medical or religious accommodation ...

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All Jobsai policy JobsEntry Level Ai Policy Jobs

Entry Level Ai Policy information

See salary details

$44K

$104.8K

$156.5K

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

As of Aug 23, 2026, the average yearly pay for entry level ai policy in the United States is $104,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $127,500.00 per year, depending on experience, location, and employer.

What is an entry level AI policy?

An entry level AI policy job involves supporting the development, analysis, and implementation of policies related to artificial intelligence. Professionals in this role often conduct research on AI regulations, monitor policy trends, and help draft policy recommendations to ensure the responsible and ethical use of AI technologies. Tasks may include preparing reports, assisting with stakeholder engagement, and staying informed about global AI governance issues. Entry level positions are typically found in government agencies, think tanks, advocacy organizations, and private companies focused on technology policy.

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

To thrive as an Entry Level AI Policy professional, you need a background in public policy, law, or technology, with strong research and analytical abilities and preferably a relevant degree. Familiarity with policy analysis tools, regulatory frameworks, and basic understanding of AI systems is often required, and certifications in data ethics or technology policy can be beneficial. Strong written and verbal communication, critical thinking, and the ability to collaborate across multidisciplinary teams are essential soft skills. These competencies are crucial for developing sound policy recommendations, communicating complex issues clearly, and navigating the evolving landscape of AI governance.

What is the difference between Entry Level Ai Policy vs Entry Level Data Analyst?

AspectEntry Level Ai PolicyEntry Level Data Analyst
Required CredentialsBachelor's in Policy, Law, or related field; familiarity with AI ethicsBachelor's in Data Science, Statistics, or related field; knowledge of data analysis tools
Work EnvironmentPolicy teams, tech companies, or government agencies focusing on AI regulationData teams, tech companies, or consulting firms analyzing datasets
Employer & Industry UsageUsed in organizations developing or regulating AI technologiesUsed across industries for data-driven decision making

Entry Level Ai Policy roles focus on understanding and developing policies related to AI ethics and regulation, often requiring knowledge of law and ethics. Entry Level Data Analyst positions involve analyzing data sets to support business decisions, requiring skills in data tools and statistics. While both roles may work in tech environments, Ai Policy emphasizes policy development, whereas Data Analysis centers on data interpretation and reporting.

More about Entry Level Ai Policy jobs

What cities are hiring for Entry Level Ai Policy jobs?

Cities with the most Entry Level Ai Policy job openings:

What are the most commonly searched types of Ai Policy jobs?

The most popular types of Ai Policy jobs are:

What states have the most Entry Level Ai Policy jobs?

States with the most job openings for Entry Level Ai Policy jobs include:

What job categories do people searching Entry Level Ai Policy jobs look for?

The top searched job categories for Entry Level Ai Policy jobs are:

Entry Level Ai Policy jobs near you
Infographic showing various Entry Level Ai Policy job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $104,760 per year, or $50.4 per hour.

AI Engineer / Data Scientist, AI Senior Associate

Pwc

New York, NY • On-site

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities to grow.
In this role, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's overall business strategies and client solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making and business growth
- Collaborating with teams to build and deploy software and platform systems for AI solutions
- Applying data wrangling techniques to prepare datasets for AI model training and validation
- Utilizing critical thinking to break down complex concepts and generate innovative solutions
- Interpreting data to inform insights and recommendations for client engagements
- Upholding professional and technical standards in alignment with the firm's code of conduct
- Navigating complex situations to anticipate the needs of teams and clients
- Building meaningful client connections to foster long-term relationships and trust
What You Must Have
- At least a Bachelor's degree
- At least 2 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
- Utilizing critical thinking to break down complex concepts
- Navigating ambiguity while maintaining focus on client needs
- Building meaningful client connections and managing relationships
- Interpreting data to inform insights and recommendations

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. 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.

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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