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Generative Ai Jobs in Florida (NOW HIRING)

AI Lead (Generative AI)

Tampa, FL · On-site

$127K - $156K/yr

AI Lead Generative AI Location: Irving, TX or Tampa, FL Work Arrangement: Onsite Job Type: Contract Job Overview We are seeking an experienced AI Lead Generative AI to join our team and contribute to ...

Syntricate Technologies is seeking a Generative AI professional to work in Tampa, FL. The role involves proficiency in various AI technologies including Natural Language Processing, Speech ...

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Generative Ai information

What is a generative AI?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What does a generative AI specialist do?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

What are the key skills and qualifications needed to thrive in the generative AI position?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

Is generative AI a career?

Generative AI is a growing field with roles such as AI engineer, research scientist, and data scientist focused on developing and improving AI models. Careers in this area typically require skills in machine learning, programming, and data analysis, and often involve working with tools like neural networks and deep learning frameworks.

What are the most commonly searched types of Generative Ai jobs in Florida?

The most popular types of Generative Ai jobs in Florida are:

What cities in Florida are hiring for Generative Ai jobs?

Cities in Florida with the most Generative Ai job openings:

Infographic showing various Generative Ai 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 Lead (Generative AI)

Centillion Infotech

Tampa, FL • On-site

$127K - $156K/yr

Other

Posted 6 days ago


Job description

AI Lead Generative AI

Location: Irving, TX or Tampa, FL
Work Arrangement: Onsite
Job Type: Contract

Job Overview

We are seeking an experienced AI Lead Generative AI to join our team and contribute to the development, integration, and deployment of innovative Generative AI solutions.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), Multi-Agent systems, Python, AI workflow orchestration, and production AI deployments. This role requires someone who can collaborate effectively with Data Scientists and Engineers while contributing to reliable, scalable, and responsible AI applications.

Key Responsibilities
  • Contribute to prompt engineering and development of AI-powered workflows.

  • Design and implement solutions leveraging LLMs and Generative AI.

  • Assist with deployment, monitoring, maintenance, and optimization of AI models in production environments.

  • Collaborate with Data Scientists, Software Engineers, and other technical teams to integrate AI capabilities into applications.

  • Develop data preprocessing and feature engineering pipelines for AI applications.

  • Develop and integrate APIs supporting Generative AI solutions.

  • Contribute to RAG-based applications, including retrieval and search workflows.

  • Participate in the development and integration of Multi-Agent and Agentic AI systems.

  • Apply workflow orchestration techniques to automate AI-powered processes.

  • Participate in code reviews, testing, debugging, and technical documentation.

  • Follow software engineering best practices using Git and version control.

  • Support containerized AI applications using Docker.

  • Stay current with advancements in Generative AI, LLMs, RAG, Agentic AI, and AI/ML technologies.

  • Share technical knowledge and relevant industry developments with the team.

  • Follow responsible AI, data privacy, security, and compliance principles.

Required Technical Skills
  • Hands-on experience with Generative AI and Large Language Models (LLMs).

  • Strong understanding of Prompt Engineering.

  • Experience or exposure to Retrieval-Augmented Generation (RAG).

  • Basic understanding of Hybrid Search, Vector Search, and Semantic Search.

  • Exposure to Multi-Agent Systems / Agentic AI / AI Agents.

  • Strong proficiency in Python for AI development, scripting, and data preprocessing.

  • Understanding of AI workflow orchestration.

  • Experience or exposure to AI model deployment and production environments.

  • Understanding of Docker and containerization.

  • Experience with API development and integration.

  • Experience with or exposure to LangChain, LlamaIndex, and/or Hugging Face is preferred.

  • Understanding of Git and version control systems.

  • Awareness of AI compliance, data privacy, security, and responsible AI principles.

  • Hands-on experience with at least one major machine learning framework such as PyTorch, TensorFlow, or Keras is advantageous.

Preferred Experience

Candidates with experience in the following areas will be highly valued:

  • Enterprise Generative AI applications

  • LLM-powered applications

  • RAG pipelines and knowledge-based AI systems

  • Vector and hybrid search

  • Agentic AI and Multi-Agent architectures

  • AI workflow automation and orchestration

  • Production deployment of AI/ML applications

  • Python-based AI application development

  • LangChain, LlamaIndex, or Hugging Face

  • Docker-based AI deployments

  • API integration for AI applications

Soft Skills
  • Strong analytical and problem-solving abilities.

  • Excellent communication and collaboration skills.

  • Ability to work effectively with Data Scientists and Engineering teams.

  • Strong attention to detail.

  • Willingness to learn new AI/ML technologies and frameworks.

  • Open to feedback and continuous improvement.

  • Ability to work effectively in an onsite environment.

Work Location : Irving, TX OR Tampa, FL Onsite Employment Type : Contract How to Apply

Interested candidates can share their updated resume and contact information for consideration.

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Subject: AI Lead Generative AI