Entry Level AI Solutions Engineer Jobs
New grad ai solutions engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a long resume. Most openings are Consulting & Professional Services, Technology & Software, and Education roles with a mix of on-site, remote, and hybrid settings, with employers like Boston Consulting, JPMorganChase, and Belmont University hiring at this level now.
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Showing 5 of 33+ Entry Level AI Solutions Engineer 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.
See All 33 Entry Level AI Solutions Engineer Jobs
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Find JobsEntry Level AI Solutions Engineer Job Market
Who's Hiring
- Boston Consulting10
- JPMorganChase2
- Belmont University2
- Apple1
- Advatix1
Top Industries Hiring
- Consulting & Professional Services12
- Technology & Software6
- Education3
- Energy1
- Insurance1
Entry Level AI Solutions Engineer Jobs: Frequently Asked Questions
How do I get an entry level ai solutions engineer job?
Employers hiring at the entry level look for hands-on evidence over credentials, so a GitHub portfolio with deployed AI projects, a capstone or internship that solved a real business problem, and fluency in Python and at least one ML framework will do more for your application than a long resume. Tailor your materials to show you can bridge technical AI work and client-facing outcomes, since that translation skill is what solutions engineer roles specifically test for.
Which companies hire entry level ai solutions engineers?
Companies hiring entry level ai solutions engineers right now include Boston Consulting, JPMorganChase, and Belmont University, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a broad mix of enterprise software vendors, AI-native startups, and large technology consultancies that run structured new-graduate programs with mentorship built in.
Are there remote entry level ai solutions engineer jobs?
Yes, though fully remote postings are more common at established tech employers than at early-stage startups that prefer on-site onboarding. About 29% of entry level ai solutions engineer openings are remote or hybrid as of November 2026, so candidates who need location flexibility have real options without limiting themselves to a single metro area.
Are these new grad ai solutions engineer jobs?
Yes, the listings here include new grad, recent graduate, and junior ai solutions engineer roles. A new grad-friendly posting typically welcomes zero to two years of experience and accepts internship work, academic projects, or a strong portfolio in place of full-time history. Look for language like 'entry level,' 'new graduate,' or 'no prior professional experience required' as signals that a role is open to candidates coming straight out of school or a bootcamp.
Which industries hire the most entry level ai solutions engineers?
Entry Level ai solutions engineer roles concentrate in Consulting & Professional Services, Technology & Software, and Education, based on current listings on Migrate Mate as of November 2026. Those sectors drive entry level hiring because they are actively building or selling AI-powered products and need junior talent who can support implementations, run demos, and help clients integrate new tools without requiring years of prior enterprise experience.