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Applied Ai Engineer Jobs in Florida (NOW HIRING)

Applied AI Engineer

Sunrise, FL · On-site

$100K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role - Applied AI Engineer Experience Required -8+ Years Must Have Technical/Functional Skills • Develop, deploy, and refine AI-driven solutions, integrating generative AI models • • Ensure AI ...

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

Applied AI Engineer, Internal Tools

Maitland, FL · Hybrid

$104K - $177K/yr

  • Medical

  • PTO

APPLIED AI ENGINEER, INTERNAL TOOLS Join our team at Alegeus, where you'll experience unmatched opportunity and a culture that cares deeply about succeeding together. As a Applied AI Engineer ...

Applied AI Engineer

Sunrise, FL · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with generative AI and prompt engineering. * Experience in continuous integration/continuous deployment pipelines and containerized deployments. * Strong attention to detail and commitment ...

New

Applied AI Field Engineer

Orlando, FL · On-site

$155K - $190K/yr

Applied AI Field Engineer Department: IT Employment Type: Full Time Location: Orlando, FL Compensation: $155,000 - $190,000 / year Description Trilon is building a supercharged, technology-enabled ...

Senior AI Engineer

Orlando, FL · On-site

$120.38 - $204.66/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in applied AI solution patterns including agentic architectures, Retrieval ... and DevOps practices using technologies such as Terraform, CI/CD pipelines, and automated ...

Senior AI Engineer

Orlando, FL · On-site

$95K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in applied AI solution patterns including agentic architectures, Retrieval ... and DevOps practices using technologies such as Terraform, CI/CD pipelines, and automated ...

The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies. This role ...

Senior AI Engineer

Orlando, FL · On-site

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in applied AI solution patterns including agentic architectures, Retrieval ... and DevOps practices using technologies such as Terraform, CI/CD pipelines, and automated ...

Overview Demand for applied AI in business software has never been higher. Softadom is hiring a Senior AI Engineer who can move beyond demos: integrate models into Django and React products, define ...

As an Applied AI Engineer, you will build those agents, skills, and AI-powered features at scale. Key Responsibilities * Develop, deploy, and refine AI-driven solutions integrating generative AI ...

Data Integration & Engineering • Develop and maintain integrations between AI solutions ... to applied AI technologies and emerging industry trends. • Support pilot programs, proofs of ...

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Showing results 1-20

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.
What are popular job titles related to Applied Ai Engineer jobs in Florida? For Applied Ai Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Applied Ai Engineer jobs in Florida look for? The top searched job categories for Applied Ai Engineer jobs in Florida are:
What cities in Florida are hiring for Applied Ai Engineer jobs? Cities in Florida with the most Applied Ai Engineer job openings:
Infographic showing various Applied Ai Engineer job openings in Florida as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 75% In-person, 6% Hybrid, and 19% Remote job distribution.

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Role - Applied AI Engineer
Experience Required -8+ Years
Must Have Technical/Functional Skills
• Develop, deploy, and refine AI-driven solutions, integrating generative AI models•
• Ensure AI systems meet enterprise standards for reliability, explainability, observability, and regulatory compliance, proactively identifying improvements•
• Design and build end-to-end production AI systems, integrating machine learning models, LLMs, and supporting services into scalable applications•
• Collaborate with cross-functional teams to address advanced technical challenges and optimize platform performance
Roles & Responsibilities
• 5+ years of experience in software development and working with React and Javascript/Typescript•
• Experience with LangGraph, RAG, or MCP style integrations•
• Experience with generative AI and prompt engineering•
• Experience in continuous integration/continuous deployment pipelines and containerized deployments•
• Strong attention to detail and commitment to high quality solutions
Base Salary Range : $100,000 to $150,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.