Entry Level AI Engineer Jobs
New grad ai engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or hands-on internship work can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, with employers like CVS Health, Boston Consulting, and TikTok hiring at this level now.
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Showing 4 of 255+ Entry Level AI Engineer jobs
SCHEDULE: Salaried.
ABOUT THE POSITION
Build, integrate, and advance AI-powered solutions that improve how care is delivered, documented, and supported across the organization. You will work hands-on with engineers, clinical informatics leaders, and analytics partners across Epic, Microsoft Fabric, Azure AI Foundry and emerging agent-based platforms to bring practical, production-ready AI capabilities into real clinical and operational workflows.
OVERVIEW OF RESPONSIBILITIES
- Design, build, deploy, and support AI agents and agent-based solutions across Epic Agent Factory and Azure AI Foundry.
- Develop and implement AI-enabled solutions using Epic Cognitive Computing, clinical decision support, predictive models and workflow-embedded AI to enhance care delivery and clinical documentation.
- Develop Python-based AI solutions, integrate LLM APIs with Epic using REST APIs and HL7/FHIR, and design, evaluate, optimize, and deploy prompt flows in Azure AI Foundry.
- Build data pipelines and Lakehouse solutions in Microsoft Fabric and support the development of semantic models and reporting assets in Power BI.
- Leverage GitHub Copilot to accelerate development while maintaining high standards for code quality, documentation and supportability.
- Support Abridge ambient documentation workflows and monitor the performance of models and agents in production environments.
- Collaborate in agile delivery processes through sprint planning, iterative development and code reviews.
- Apply responsible AI practices consistent with HIPAA requirements and Reid Health’s AI governance framework.
EDUCATION & EXPERIENCE
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Hands-on experience building and deploying AI applications using LLM APIs such as OpenAI, Anthropic, or Hugging Face, including prompt engineering and agent-based development using frameworks such as LangChain, AutoGen, Microsoft Semantic Kernel, or similar tools.
- Proficiency with Azure AI Foundry, Microsoft Fabric, Power BI, including Power BI Copilot and GitHub Copilot.
- Strong technical skills in Python and SQL, with experience using libraries such as Pandas, scikit-learn and PyTorch. Solid understanding of NLP, transformers, embeddings, vector databases and retrieval-augmented generation (RAG) is expected.
- Experience designing, evaluating and optimizing AI workflows, including prompt flows, grounding strategies and production deployment.
- Experience integrating AI solutions into enterprise systems, ideally in healthcare environments using REST APIs and HL7/FHIR standards.
- Familiarity with model and agent monitoring, agile delivery practices, responsible AI principles and HIPAA-compliant handling of protected health information.
SCHEDULE: Salaried.
ABOUT THE POSITION
Build, integrate, and advance AI-powered solutions that improve how care is delivered, documented, and supported across the organization. You will work hands-on with engineers, clinical informatics leaders, and analytics partners across Epic, Microsoft Fabric, Azure AI Foundry and emerging agent-based platforms to bring practical, production-ready AI capabilities into real clinical and operational workflows.
OVERVIEW OF RESPONSIBILITIES
- Design, build, deploy, and support AI agents and agent-based solutions across Epic Agent Factory and Azure AI Foundry.
- Develop and implement AI-enabled solutions using Epic Cognitive Computing, clinical decision support, predictive models and workflow-embedded AI to enhance care delivery and clinical documentation.
- Develop Python-based AI solutions, integrate LLM APIs with Epic using REST APIs and HL7/FHIR, and design, evaluate, optimize, and deploy prompt flows in Azure AI Foundry.
- Build data pipelines and Lakehouse solutions in Microsoft Fabric and support the development of semantic models and reporting assets in Power BI.
- Leverage GitHub Copilot to accelerate development while maintaining high standards for code quality, documentation and supportability.
- Support Abridge ambient documentation workflows and monitor the performance of models and agents in production environments.
- Collaborate in agile delivery processes through sprint planning, iterative development and code reviews.
- Apply responsible AI practices consistent with HIPAA requirements and Reid Health’s AI governance framework.
EDUCATION & EXPERIENCE
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Hands-on experience building and deploying AI applications using LLM APIs such as OpenAI, Anthropic, or Hugging Face, including prompt engineering and agent-based development using frameworks such as LangChain, AutoGen, Microsoft Semantic Kernel, or similar tools.
- Proficiency with Azure AI Foundry, Microsoft Fabric, Power BI, including Power BI Copilot and GitHub Copilot.
- Strong technical skills in Python and SQL, with experience using libraries such as Pandas, scikit-learn and PyTorch. Solid understanding of NLP, transformers, embeddings, vector databases and retrieval-augmented generation (RAG) is expected.
- Experience designing, evaluating and optimizing AI workflows, including prompt flows, grounding strategies and production deployment.
- Experience integrating AI solutions into enterprise systems, ideally in healthcare environments using REST APIs and HL7/FHIR standards.
- Familiarity with model and agent monitoring, agile delivery practices, responsible AI principles and HIPAA-compliant handling of protected health information.
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Find Entry Level AI Engineer JobsEntry Level AI Engineer Job Market
Who's Hiring
- CVS Health53
- Boston Consulting10
- TikTok9
- Deloitte9
- Apple5
Top Industries Hiring
- Technology & Software75
- Healthcare & Medical Services56
- Consulting & Professional Services33
- Electronics & Hardware17
- Investment & Asset Management15
Entry Level AI Engineer Jobs: Frequently Asked Questions
How do I get an entry level ai engineer job?
Entry level ai engineer roles reward candidates who can show applied work, not just coursework. Build a portfolio with personal or open-source projects that demonstrate model training, data pipelines, or deployed applications. Familiarity with Python, PyTorch or TensorFlow, and basic machine learning concepts gives you a real edge. Internship experience at any scale, even a semester-long project, signals you can work in a professional environment.
Which companies hire entry level ai engineers?
Companies hiring entry level ai engineers right now include CVS Health, Boston Consulting, and TikTok, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a wide range of employers, including large tech firms, enterprise software companies, defense and government contractors, and early-stage startups building AI-native products.
Are there remote entry level ai engineer jobs?
Yes, remote and hybrid options exist at this level, though on-site roles are also common. About 59% of entry level ai engineer openings are remote or hybrid as of August 2026, so candidates who need location flexibility have real options. Filtering by work setting on Migrate Mate lets you focus only on the openings that match your situation.
Are these new grad ai engineer jobs?
Yes, the listings here include new grad, recent graduate, and junior ai engineer roles. A new grad-friendly posting typically welcomes zero to two years of experience and counts internships, capstone projects, or a strong portfolio toward that threshold. If a job description asks for hands-on work rather than years on a resume, it is generally open to new graduates entering the field for the first time.
Which industries hire the most entry level ai engineers?
Entry Level ai engineer roles concentrate in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they are actively building or expanding AI-powered products and internal tooling, which creates consistent demand for junior engineers who can contribute to model development, data work, and integration projects.