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

... 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 ...

Description AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits ... 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 ...

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 ...

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

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

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

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

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 ...

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

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 ...

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

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Entry Level Azure Ai Engineer information

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 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 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 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 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 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Engineer

Park Square Homes

Orlando, FL • On-site

Full-time

Re-posted 9 days ago


Job description

With a 40+ year commitment to delivering breakthrough customer experiences and a culture rooted in trust, integrity, and continuous learning, our award-winning company, Park Square Homes, is looking for an AI Engineer who is as passionate about teaching as they are about technology. This is a hands-on role for someone who loves getting in the weeds — building smart workflows, sitting side-by-side with teammates to show them a better way, and helping an entire company level up with AI. 

About This Role: This role is equal parts builder and teacher. You will implement AI tools and automate workflows across our business — then turn around and train every department on how to use them. You will run one-on-one coaching sessions with individual employees, lead department-level AI workshops, and design company-wide training programs. You will be the go-to person when someone asks, “Can AI help with this?” — and the person who then teaches them how. We are not looking for a strategist or an architect. We are looking for a doer and a communicator — someone who can build a workflow in the morning, run a department training at lunch, and troubleshoot a tool for a colleague in the afternoon. 

Key Responsibilities: 

Training & Development — The Core of This Role

  • Conduct one-on-one coaching sessions with employees across all departments — meet people where they are; build their confidence and capability with AI tools.
  • Lead department-level AI training sessions — Sales, Construction, Finance, Land, HR, Marketing and more — tailored to each team's actual workflows.
  • Design and deliver company-wide AI training programs and workshops — from introductory literacy sessions to advanced automation workshops.
  • Create training materials employees actually use — step-by-step guides, short video tutorials, quick-reference cards, and visual workflow maps.
  • Build and maintain a training calendar — schedule recurring sessions, track participation, and follow up with teams post-training.
  • Assess AI readiness across the organization and develop personalized learning paths for employees at all skill levels.
  • Champion a culture of continuous learning and curiosity around AI.

AI Tools & Workflow Automation

  • Build and deploy AI-powered workflows and automations for departments across PSH — document generation, reporting, communication drafting, data entry reduction, and approval routing.
  • Integrate AI tools into the systems teams already use — email, project management, CRM, construction software, and HR platforms.
  • Automate repetitive manual tasks so employees can spend time on higher-value work.
  • Write scripts and use APIs to connect tools and extend functionality.
  • Document all workflows and automations in plain language so others can maintain and understand them.
  • Test, troubleshoot, and continuously improve deployed tools.

Hands-On Cross-Functional Support

  • Work directly with department leads and individual contributors to identify pain points and automation opportunities.
  • Serve as the company's go-to resource for day-to-day AI questions and troubleshooting.
  • Provide ongoing support for employees using AI tools — not just at launch, but over time.
  • Identify which emerging AI tools are worth evaluating and set up low-risk pilots before broader rollout.

 

Qualifications: 

Must-Haves

  • A genuine passion for AI and an enthusiasm for staying current on new tools — this should feel like a hobby, not just a job requirement.
  • A love of teaching and helping people — you get energy from the moment a colleague finally “gets it.”
  • Hands-on experience with Copilot, Cowork, Claude, Power Automate, n8n, Zapier, Make, or similar tools.
  • Hands-on experience building AI agents and AI-powered solutions using platforms such as Microsoft Copilot Studio, Azure AI Foundry, or similar AI development platforms.
  • Experience consuming and integrating LLMs / foundation models such as OpenAI GPT models, Claude, Gemini, or similar models within AI agents and business applications.
  • Programming knowledge in Python, JavaScript, .NET, Semantic Kernel SDK, and SQL Server, with comfort in APIs, scripting, and automation development.
  • Strong communication skills — you can explain a technical concept to a non-technical audience without losing them.
  • Experience creating training materials, guides, or tutorials.
  • Self-motivated, organized, and comfortable working across multiple departments simultaneously.

Nice to Haves

  • Experience in a training, enablement, or instructional design role.
  • Background in homebuilding, construction, or real estate.
  • Familiarity with workflow automation platforms and system integrations.
  • Experience with data visualization or reporting tools.

Education

  • A degree in Computer Science, Information Technology, or a related field is not required. We care far more about what you've built and how well you teach than where you went to school.

 

Skills & Competencies 

  • Demonstrated ability to build, deploy, and iterate on AI-powered workflows and automations that solve real business problems — not just proof-of-concepts, but tools people actually use every day.
  • Exceptional communication and instructional skills, with the ability to break down complex technical concepts for non-technical audiences at every level of the organization — from frontline employees to senior leadership.
  • Genuine enthusiasm for teaching and enablement — the kind of person who finds as much satisfaction in a successful training session as in shipping a new automation.
  • Strong cross-functional collaboration skills, with the ability to build trust quickly across departments, understand their unique workflows, and earn the credibility to recommend and implement change.
  • Intellectual curiosity and a bias toward action — always testing, always learning, always looking for the next opportunity to improve how Park Square Homes operates.
  • Highly organized and self-directed, with the ability to manage multiple workstreams, prioritize competing demands, and deliver consistently without close supervision.
  • A practical, user-first mindset — you design tools and training programs for the people who will actually use them, not to showcase technical sophistication.
  • Comfortable with ambiguity and fast-moving technology landscapes — the AI space changes quickly, and you thrive in environments where adaptability and learning agility are essential.

 

Physical Requirements: 

  • Frequent use of a computer and standard office equipment.
  • Ability to conduct in-person training sessions across departments and offices.
  • Occasional travel between PSH office locations as needed for on-site training.