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

Cloud & DevOps Exposure: Basic understanding of cloud platforms (Azure, AWS, or GCP ... Generative AI Interest: Demonstrated curiosity about or experience with LLMs, prompt engineering ...

Cloud & DevOps Exposure: Basic understanding of cloud platforms (Azure, AWS, or GCP ... Generative AI Interest: Demonstrated curiosity about or experience with LLMs, prompt engineering ...

... entry level candidates who are excited to start their software engineering career with hands-on, real-world experience. You ll work on live engineering projects, gain early exposure to AI-driven ...

... Engineering e RAG * Conoscenze di metodologia MLOps e utilizzo di strumenti a supporto * Esperienza di sviluppo di modelli e applicazioni di AI su almeno un major cloud (AWS / Azure / GCP) tramite ...

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking ... Understandingof model deployment techniques and cloud platforms (AWS,GCP, Azure) * Ability ...

Showing results 21-40

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?

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 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 August 2026, with employment types broken down into 13% Internship, and 87% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

Cloud Security Consultant - Azure Infrastructure & AI

Deloitte

Tallahassee, FL • On-site

$62.25 - $82.75/hr

Full-time

Re-posted 21 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Cloud Security Consultant - Azure Infrastructure & AI on the Cloud Cyber Risk team, you will be responsible for:

  • Supporting delivery of Azure cloud cyber risk engagements across governance, identity, application security, platform as a service security, infrastructure security, AI security, security monitoring, resilience, and data protection
  • Performing cloud security assessments, solution design, implementations, health checks, and post-implementation reviews across Azure, Microsoft Entra ID, and Microsoft 365 environments
  • Working directly with clients to assess security requirements, identify risks, and recommend cloud security configurations and remediation actions
  • Developing project deliverables, including assessment reports, architecture diagrams, technical recommendations, compliance reporting, and remediation documentation
  • Contributing to business development, internal training, technical research, and other practice development activities related to Microsoft cloud security services


A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others


The team
Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.
Qualifications
Required:

  • 2+ years of experience in technical consulting, solution architecture, solution design, or cloud security implementation in Azure environments
  • 2+ years of hands-on experience designing and implementing cloud security solutions in public, private, or hybrid cloud environments
  • 2+ years of experience designing enterprise cloud security architectures and strategies
  • 2+ years of experience with Azure Policy, Terraform, or JavaScript Object Notation (JSON)-based infrastructure configuration
  • 2+ years of experience with cloud native application protection platform (CNAPP), cloud security posture management (CSPM), or cloud workload protection platform (CWPP) technologies
  • Experience with architecting security on Microsoft Azure, including controls for Azure AI services such as Microsoft Foundry or Azure OpenAI covering data protection, identity and access management, and model scanning
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.


Preferred:

  • Bachelor of Arts or Bachelor of Science degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology
  • Previous consulting experience
  • Microsoft certification in Azure or Security, including AZ-500, AZ-204, SC-900, SC-100, SC-200, SC-300, SC-400, SC500, AI300, AI103, or AI200
  • Cybersecurity certification such as Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), Certified Information Systems Security Professional (CISSP), Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
  • Experience with identity and access management technologies and services
  • Experience with Azure data, analytics, or artificial intelligence and machine learning services


The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to 162,800.


You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Cloud Security Consultant - Azure Infrastructure & AI on the Cloud Cyber Risk team, you will be responsible for:

  • Supporting delivery of Azure cloud cyber risk engagements across governance, identity, application security, platform as a service security, infrastructure security, AI security, security monitoring, resilience, and data protection
  • Performing cloud security assessments, solution design, implementations, health checks, and post-implementation reviews across Azure, Microsoft Entra ID, and Microsoft 365 environments
  • Working directly with clients to assess security requirements, identify risks, and recommend cloud security configurations and remediation actions
  • Developing project deliverables, including assessment reports, architecture diagrams, technical recommendations, compliance reporting, and remediation documentation
  • Contributing to business development, internal training, technical research, and other practice development activities related to Microsoft cloud security services


A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others


The team
Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.
Qualifications
Required:

  • 2+ years of experience in technical consulting, solution architecture, solution design, or cloud security implementation in Azure environments
  • 2+ years of hands-on experience designing and implementing cloud security solutions in public, private, or hybrid cloud environments
  • 2+ years of experience designing enterprise cloud security architectures and strategies
  • 2+ years of experience with Azure Policy, Terraform, or JavaScript Object Notation (JSON)-based infrastructure configuration
  • 2+ years of experience with cloud native application protection platform (CNAPP), cloud security posture management (CSPM), or cloud workload protection platform (CWPP) technologies
  • Experience with architecting security on Microsoft Azure, including controls for Azure AI services such as Microsoft Foundry or Azure OpenAI covering data protection, identity and access management, and model scanning
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.


Preferred:

  • Bachelor of Arts or Bachelor of Science degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology
  • Previous consulting experience
  • Microsoft certification in Azure or Security, including AZ-500, AZ-204, SC-900, SC-100, SC-200, SC-300, SC-400, SC500, AI300, AI103, or AI200
  • Cybersecurity certification such as Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), Certified Information Systems Security Professional (CISSP), Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
  • Experience with identity and access management technologies and services
  • Experience with Azure data, analytics, or artificial intelligence and machine learning services


The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to 162,800.


You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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