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Entry Level Ai Manager Jobs (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI Support Specialist

Chesterfield, VA · On-site

$110K - $120K/yr

Demonstrated ability to manage multiple tasks, priorities and timelines in a dynamic environment ... Minimum Qualifications Entry-level experience working with generative AI tools or AI assisted ...

This is an entry-level position designed for someone who is eager to learn about AI image ... Organized and dependable with good time-management skills. * Comfortable receiving feedback and ...

Showing results 41-60

Entry Level Ai Manager information

See salary details

$25K

$47.8K

$68.5K

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

As of Aug 13, 2026, the average yearly pay for entry level ai manager in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

How does an entry level AI manager typically collaborate with data scientists and engineers on a project?

As an Entry Level AI Manager, you will often act as a bridge between technical teams such as data scientists and engineers, and non-technical stakeholders. Your role involves organizing project tasks, facilitating communication, and ensuring that everyone is aligned on objectives and deadlines. You'll participate in regular meetings, help clarify project requirements, and support team members in overcoming roadblocks. This collaborative environment is a great opportunity to learn from experienced professionals while developing your own leadership and project management skills.

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

To thrive as an Entry Level AI Manager, you need a solid understanding of artificial intelligence principles, data analysis, and project management, typically supported by a relevant bachelor's degree. Familiarity with programming languages (such as Python), AI frameworks (like TensorFlow or PyTorch), and basic cloud platforms is commonly expected. Strong communication, problem-solving, and adaptability are essential soft skills for collaborating with technical teams and stakeholders. These skills and qualities are crucial for effectively guiding AI projects, ensuring technical accuracy, and aligning outcomes with organizational goals.

How to get into entry-level AI manager?

To enter an entry-level AI manager role, candidates typically need a bachelor's degree in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and experience with AI tools and frameworks. Gaining relevant internships or project experience can also improve prospects. Developing leadership and project management skills is beneficial for advancement in this role.

What is an entry level AI manager?

Entry level AI managers are professionals who oversee projects and teams involved in artificial intelligence (AI) initiatives, typically at the beginning stages of their management careers. They help plan, coordinate, and monitor AI-related tasks, working closely with data scientists, engineers, and other stakeholders to ensure projects meet objectives and deadlines. While they may not have extensive management experience, they often have a background in AI, data science, or computer science, and are developing their leadership and project management skills. Entry level AI managers play a key role in bridging technical teams and business goals, ensuring the successful implementation of AI solutions.

What is the most entry-level AI manager job?

An entry-level AI manager role typically involves overseeing small AI projects, coordinating data science teams, and supporting AI development efforts. Candidates often need foundational knowledge of machine learning, programming skills in Python or similar languages, and familiarity with AI tools and frameworks. Such positions may require a bachelor's degree in a related field and are suitable for those starting their careers in AI management.
More about Entry Level Ai Manager jobs
What are the most commonly searched types of Ai Manager jobs? The most popular types of Ai Manager jobs are:
What states have the most Entry Level Ai Manager jobs? States with the most job openings for Entry Level Ai Manager jobs include:
What job categories do people searching Entry Level Ai Manager jobs look for? The top searched job categories for Entry Level Ai Manager jobs are:
Infographic showing various Entry Level Ai Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

AI & GenAI Data Scientist-Senior Associate

Pwc

Stamford, CT • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


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

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, 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.
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 solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Utilizing programming languages such as Python and C++ to build robust data models
- Managing data pipelines and confirming data quality and integration across platforms
- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
- Conducting complex data analysis to inform strategic decision-making
- Leveraging natural language processing and text analytics for innovative AI applications
- Building and maintaining data infrastructure to support AI-driven automation
- Mentoring junior team members and fostering a collaborative work environment
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: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- 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 libraries
- Utilizing Python for complex data analysis and modeling
- Excelling in neural network design and reinforcement learning agents
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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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