Entry Level AI Program Manager Jobs
New grad ai program manager jobs open doors for recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship background can carry more weight than years on a resume. Most openings are on-site, remote, and hybrid roles across Technology & Software, Energy, and Education, with employers like TikTok, JPMorganChase, and C Spire hiring at this level now.
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Showing 5 of 16+ Entry Level AI Program Manager jobs
Job Description: AI/ML Engineer
Full-Time Position
IT – Technology
Job Title: Artificial Intelligence / Machine Learning Engineer
Department: Information Technology / Engineering
Experience: 2–5 Years (depending on company requirements)
Job Location: USA / Remote / Hybrid
1. Job Summary
We are looking for a skilled AI/ML Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will work with large datasets, build predictive models, develop intelligent applications, and improve existing systems using machine learning algorithms and deep learning techniques.
2. Roles and Responsibilities
- Design, develop, and deploy machine learning models and AI-based applications.
- Collect, clean, process, and analyze large datasets.
- Develop predictive models using machine learning algorithms.
- Implement deep learning techniques for complex data analysis.
- Work with Natural Language Processing (NLP) and computer vision technologies.
- Build and optimize AI models to improve accuracy and performance.
- Collaborate with data scientists, software developers, and engineering teams.
- Integrate AI/ML models into existing applications and business systems.
- Monitor deployed models and improve their performance.
- Research emerging AI technologies and industry trends.
3. Required Technical Skills
- Programming Languages: Python, R, Java, C++.
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras.
- Data Processing: Pandas, NumPy, SQL.
- Deep Learning: Neural Networks, CNN, RNN.
- AI Technologies: Generative AI, Large Language Models (LLMs), NLP.
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
- Data Visualization: Tableau, Power BI, Matplotlib.
- Tools: Jupyter Notebook, Git, Docker, Kubernetes.
4. Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of mathematics, statistics, and computer science fundamentals.
5. Preferred Skills
- Experience developing and deploying AI/ML models.
- Knowledge of cloud-based machine learning platforms.
- Understanding of MLOps and model lifecycle management.
- Experience working with large-scale datasets.
- Strong analytical, problem-solving, and communication skills.
6. Key Performance Indicators (KPIs)
- Model accuracy and prediction performance.
- Efficiency of AI/ML model deployment.
- Reduction in processing time.
- Quality and reliability of developed AI solutions.
- Successful integration of AI models into business applications.
Job Description: AI/ML Engineer
Full-Time Position
IT – Technology
Job Title: Artificial Intelligence / Machine Learning Engineer
Department: Information Technology / Engineering
Experience: 2–5 Years (depending on company requirements)
Job Location: USA / Remote / Hybrid
1. Job Summary
We are looking for a skilled AI/ML Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will work with large datasets, build predictive models, develop intelligent applications, and improve existing systems using machine learning algorithms and deep learning techniques.
2. Roles and Responsibilities
- Design, develop, and deploy machine learning models and AI-based applications.
- Collect, clean, process, and analyze large datasets.
- Develop predictive models using machine learning algorithms.
- Implement deep learning techniques for complex data analysis.
- Work with Natural Language Processing (NLP) and computer vision technologies.
- Build and optimize AI models to improve accuracy and performance.
- Collaborate with data scientists, software developers, and engineering teams.
- Integrate AI/ML models into existing applications and business systems.
- Monitor deployed models and improve their performance.
- Research emerging AI technologies and industry trends.
3. Required Technical Skills
- Programming Languages: Python, R, Java, C++.
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras.
- Data Processing: Pandas, NumPy, SQL.
- Deep Learning: Neural Networks, CNN, RNN.
- AI Technologies: Generative AI, Large Language Models (LLMs), NLP.
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
- Data Visualization: Tableau, Power BI, Matplotlib.
- Tools: Jupyter Notebook, Git, Docker, Kubernetes.
4. Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of mathematics, statistics, and computer science fundamentals.
5. Preferred Skills
- Experience developing and deploying AI/ML models.
- Knowledge of cloud-based machine learning platforms.
- Understanding of MLOps and model lifecycle management.
- Experience working with large-scale datasets.
- Strong analytical, problem-solving, and communication skills.
6. Key Performance Indicators (KPIs)
- Model accuracy and prediction performance.
- Efficiency of AI/ML model deployment.
- Reduction in processing time.
- Quality and reliability of developed AI solutions.
- Successful integration of AI models into business applications.
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Top Industries Hiring
- Technology & Software
- Energy
- Education
- Insurance
- Automotive
Entry Level AI Program Manager Jobs: Frequently Asked Questions
How do I get an entry level ai program manager job?
Employers hiring at the entry level look for candidates who can demonstrate familiarity with AI tools, agile workflows, and cross-functional coordination, even from coursework, internships, or project work. A portfolio showing a managed project from kickoff to delivery gives you a concrete edge. Certifications in project management fundamentals and hands-on experience with AI platforms round out a competitive application at this stage.
Which companies hire entry level ai program managers?
Companies hiring entry level ai program managers right now include TikTok, JPMorganChase, and C Spire, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a mix of technology firms, enterprise software companies, and large organizations building out dedicated AI programs who welcome candidates early in their careers.
Are there remote entry level ai program manager jobs?
Yes, though the mix varies by employer and industry. About 30% of entry level ai program manager openings are remote or hybrid as of November 2026, so options exist beyond on-site roles. Candidates open to hybrid arrangements generally see the widest range of openings at this experience level.
Are these new grad ai program manager jobs?
Yes, the listings on this page include new grad, recent graduate, and junior ai program manager roles. A posting is new-grad friendly when it welcomes zero to two years of experience, counts internships or co-ops toward that threshold, or accepts a strong portfolio in place of full-time work history. Look for language like "no prior professional experience required" or "recent graduates encouraged to apply" as clear signals.
Which industries hire the most entry level ai program managers?
Entry Level ai program manager roles concentrate in Technology & Software, Energy, and Education, based on current listings on Migrate Mate as of November 2026. These sectors are expanding AI initiatives rapidly and tend to bring in junior program managers early to support roadmap planning, vendor coordination, and cross-team execution under senior leadership.