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Entry Level Azure Ai Engineer Jobs in Florida (NOW HIRING)

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Collaborating with IT, AI, and data science teams, youll play a pivotal role in building and ... AWS Certified Machine Learning Engineer * Microsoft Azure Security Certification Preferred ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Collaborating with IT, AI, and data science teams, you'll play a pivotal role in building and ... AWS Certified Machine Learning Engineer * Microsoft Azure Security Certification Preferred ...

Senior Security Engineer - AI, Vice President

Tampa, FL · Hybrid

$108K - $148K/yr

Azure AI Engineer Associate * Certified Information Systems Security Professional (CISSP) * " Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship ...

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

AI Engineer

Tampa, FL

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

AI Engineer

Miami, FL

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

... Studio, Azure AI Foundry, or similar AI development platforms. * Experience consuming and ... Programming knowledge in Python, JavaScript, .NET, Semantic Kernel SDK, and SQL Server, with ...

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ...

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ...

Mid Level AI Engineer Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering ... Azure OpenAI, or open-source models. * Strong Python development skills with experience building ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working ... Familiarity with at least one cloud environment such as AWS, Azure, or GCP. * Understanding of how ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working ... Familiarity with at least one cloud environment such as AWS, Azure, or GCP. * Understanding of how ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working ... Familiarity with at least one cloud environment such as AWS, Azure, or GCP. * Understanding of how ...

Associate AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered ... Knowledge of distributed systems and cloud-based computing (Azure). * Familiarity with machine ...

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Entry Level Azure Ai Engineer information

What is the difference between Entry Level Azure Ai Engineer vs Data Scientist?

AspectEntry Level Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageTech, cloud services, AI projectsFinance, healthcare, tech, research

While both roles involve working with data and AI, an Entry Level Azure Ai Engineer focuses on deploying AI solutions on Azure cloud platforms, requiring cloud certifications and programming skills. A Data Scientist primarily analyzes data, builds models, and may not require cloud-specific certifications. The roles overlap in data handling but differ in technical focus and work environment.

What are some common challenges faced by Entry Level Azure AI Engineers when transitioning from academic projects to real-world applications?

Entry Level Azure AI Engineers often find that real-world projects involve integrating AI models with existing business systems and handling larger, messier datasets than those used in academic settings. Challenges may include learning to work with Azure-specific tools, collaborating with cross-functional teams, and meeting production-level reliability and scalability requirements. New hires also need to quickly adapt to agile development cycles and ongoing feedback, which can differ significantly from the more controlled pace of academic projects.

What are the key skills and qualifications needed to thrive as an Entry Level Azure AI Engineer, and why are they important?

To thrive as an Entry Level Azure AI Engineer, you need foundational experience in programming (such as Python or C#), understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services), and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Problem-solving skills, attention to detail, and effective communication help you collaborate with teams and explain AI solutions to stakeholders. These abilities ensure you can build, deploy, and maintain AI solutions efficiently in cloud-based environments, meeting business needs.

What does an Entry Level Azure AI Engineer do?

An Entry Level Azure AI Engineer is responsible for developing, deploying, and maintaining artificial intelligence solutions using Microsoft Azure's AI services and tools. They typically work on tasks such as building machine learning models, integrating AI APIs, and supporting cloud-based AI applications under the guidance of more experienced engineers. Their role often includes data preparation, testing AI solutions, and ensuring that AI models run efficiently and securely on Azure infrastructure. This position is ideal for those with foundational knowledge in AI, programming, and cloud computing who are looking to grow their skills in a real-world environment. Entry level engineers often collaborate with data scientists, developers, and project managers to deliver AI-driven solutions for various business needs.
What are the most commonly searched types of Azure Ai Engineer jobs in Florida? The most popular types of Azure Ai Engineer jobs in Florida are:
What job categories do people searching Entry Level Azure Ai Engineer jobs in Florida look for? The top searched job categories for Entry Level Azure Ai Engineer jobs in Florida are:
What cities in Florida are hiring for Entry Level Azure Ai Engineer jobs? Cities in Florida with the most Entry Level Azure Ai Engineer job openings:
Infographic showing various Entry Level Azure Ai Engineer job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Cloud Engineer - Azure

Lee Health

Fort Myers, FL • On-site, Remote

$78K - $101K/yr

Full-time

Re-posted 28 days ago


Lee Health rating

7.0

Company rating: 7.0 out of 10

Based on 195 frontline employees who took The Breakroom Quiz

414th of 885 rated healthcare providers


Job description

Location: Remote - Florida

Department: IS Information Technology Svcs

Work Type: Full Time

Shift: Shift 1/8:00:00 AM to 4:30:00 PM

Minimum to Midpoint Pay Rate:$78,457.60 - 101,982.40 / Annual

Summary

Lee Health is seeking an innovative Cloud Engineer to design, build, and maintain secure, scalable, and high-performing cloud systems that power our digital and AI transformation. In this role, youll architect and manage cloud infrastructure across private, public, and hybrid environmentsenabling advanced data management, automation, and application deployment. Collaborating with IT, AI, and data science teams, youll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing initiatives.

If youre passionate about driving innovation through cloud engineering and emerging technologies, this is an exceptional opportunity to shape the next generation of healthcare technology.


What Youll Do
  • Design & Build: Develop scalable, secure, and cost-effective cloud architectures using AWS, Azure, or GCP.

  • Migrate & Modernize: Lead cloud migration projects for data, systems, and applications while ensuring minimal disruption.

  • Automate & Optimize: Implement Infrastructure-as-Code (IaC), automate deployment pipelines, and streamline configuration management.

  • Innovate with AI: Partner with data science and AI teams to develop infrastructure for AI/ML experimentation and production deployment.

  • Ensure Compliance & Security: Maintain adherence to data privacy standards, IAM, encryption, and regulatory compliance (HIPAA, HITRUST).

  • Monitor & Improve: Oversee cloud utilization, troubleshoot performance issues, and develop disaster recovery strategies.

  • Collaborate & Lead: Act as a bridge between development and infrastructure teams, fostering a DevSecOps culture and continuous improvement mindset.


Qualifications

Education:

  • Bachelors degree in Computer Science, Engineering, or related field required.

  • Masters degree in Computer Science, Machine Learning, or related discipline preferred.

Experience:

  • 2+ years designing, building, and supporting private or hybrid cloud environments.

  • Proven experience with DevOps and automation (IaC, CI/CD, scripting in PowerShell, Python, or Shell).

  • Strong grasp of cloud security, IAM, networking, and monitoring tools.

  • Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts.

  • Experience supporting AI/ML model deployment, fine-tuning, or integration is a plus.

  • Familiarity with healthcare data standards (HIPAA, HL7, FHIR) preferred.

Certifications (one or more required):

  • Microsoft Certified Azure AI Fundamentals or AI Engineer Associate

  • AWS Certified Machine Learning Engineer

  • Microsoft Azure Security Certification

Preferred Certifications:

  • HITRUST Practitioner, NIST AI RMF Architect, or Artificial Intelligence Engineer Certification


Why Join Lee Health

At Lee Health, innovation meets compassion. As we advance our journey toward smarter, data-driven healthcare, youll have the opportunity to work with emerging technologies, contribute to transformative AI initiatives, and make a lasting impact on patient care. Join a health system recognized for excellence, collaboration, and continuous learning.


What Lee Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lee Health logo

About Lee Health

Sourced by ZipRecruiter

Lee Health is one of the largest public health systems in the U.S. and one of the largest not-for-profit public health systems in Florida. With 4 acute care hospitals; Lee Memorial, Healthpark Medical Center, Cape Coral Hospital and Gulf Coast Medical Center, two specialty hospitals; Gaisano Children's Hospital and The Rehab Hospital. Lee Physician Group with over 80 practices throughout Southwest Florida, a Regional Cancer Center, seven outpatient centers, three walk-in clinics and two pediatric outpatient facilities. HEALTHGRADES ranks Lee Healths four acute care hospitals in the top 5% in the nation for overall clinical excellence in 2019, 2020, 2021 AND 2022 and is included in America's 250 Best Hospitals

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Fort Myers, FL, US

Year founded

1916