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Senior Generative Ai Engineer Jobs in Florida (NOW HIRING)

KPMG US

AI Engineer- Manager

Orlando, FL · On-site

The company is seeking an AI Engineer - Manager to develop generative AI solutions, provide technical guidance, and mentor junior engineers while collaborating with cross-functional teams to meet ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$49.25 - $67.50/hr

... and Generative AI capabilities. Working within our Technology & Engineering Practice, you will ... This is a senior individual contributor opportunity for someone who enjoys hands-on engineering ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$49.25 - $67.50/hr

... and Generative AI capabilities. Working within our Technology & Engineering Practice, you will ... This is a senior individual contributor opportunity for someone who enjoys hands-on engineering ...

Syntricate Technologies

Generative AI

Tampa, FL · On-site

Syntricate Technologies is seeking a Generative AI professional to work in Tampa, FL. The role ... Familiarity with the React Developer Tools for debugging and inspecting React components. • ...

WorkNovas LLC

Gen AI Engineer

Sunrise, FL · On-site

Experience - 6 to 8 Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). * In this role, you will work on end ...

Citigroup, Inc.

Senior Agentic AI Engineer (VP)

Tampa, FL · On-site

$170K - $219K/yr

About the Team The Senior Agentic AI Engineer is a high-impact technical professional who sits at ... Design and implement advanced generative AI methods, including sophisticated prompt engineering and ...

Citi

Senior Agentic AI Engineer (VP)

Tampa, FL · On-site

$170K - $219K/yr

About the Team The Senior Agentic AI Engineer is a high-impact technical professional who sits at ... Design and implement advanced generative AI methods, including sophisticated prompt engineering and ...

Citi

Senior Agentic AI Engineer (VP)

Tampa, FL · On-site

About the Team The Senior Agentic AI Engineer is a high-impact technical professional who sits at ... Design and implement advanced generative AI methods, including sophisticated prompt engineering and ...

Apex Systems

AI engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

You will work alongside a Senior ML/AI Engineer and report to the Director, ACE. You will operate ... generative AI. * Build and maintain data pipelines and feature engineering workflows that feed ...

CYNET SYSTEMS

Applied AI Engineer

Sunrise, FL · On-site

$50 - $55/hr

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

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Senior Generative Ai Engineer information

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

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

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

What are popular job titles related to Senior Generative Ai Engineer jobs in Florida?

For Senior Generative Ai Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Senior Generative Ai Engineer jobs in Florida look for?

The top searched job categories for Senior Generative Ai Engineer jobs in Florida are:

What cities in Florida are hiring for Senior Generative Ai Engineer jobs?

Cities in Florida with the most Senior Generative Ai Engineer job openings:

Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative 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.

Generative AI Developer

Syntricate Technologies

Tampa, FL • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Generative AI Developer to work on innovative AI solutions. The role involves working with large-scale language models, natural language processing, and computer vision tasks.
Responsibilities:
• LamaIndex: Knowledge of LamaIndex, a large-scale language model from Google.
• LangChain Open Source Models: Experience with using open source language models from the LangChain project.
• Natural Language Processing (NLP): Proficiency in NLP tasks such as text classification, named entity recognition, and question answering.
• Speech Recognition and Synthesis: Knowledge of speech recognition and synthesis technologies.
• Computer Vision: Experience with computer vision tasks such as image classification, object detection, and segmentation.
• (Retrieval-Augmented Generation): Understanding of RAG models and their applications.
• State and Component Lifecycle: Understanding how to manage state within React components and the different lifecycle methods used to control component behaviour.
• Routing: Ability to create and manage routes within React applications using libraries like React Router.
• Data Flow: Expertise in managing data flow and props throughout React applications.
• Hooks: Knowledge and proficiency in using React Hooks for state management and lifecycle functions.
• Redux: Understanding of Redux for state management in complex React applications.
• React Developer Tools: Familiarity with the React Developer Tools for debugging and inspecting React components.
• Modern Development Tools: Experience with modern development tools such as npm, Webpack, and Babel.
Qualifications:
Required:
• Knowledge of LamaIndex, a large-scale language model from Google.
• Experience with using open source language models from the LangChain project.
• Proficiency in NLP tasks such as text classification, named entity recognition, and question answering.
• Knowledge of speech recognition and synthesis technologies.
• Experience with computer vision tasks such as image classification, object detection, and segmentation.
• Understanding of RAG models and their applications.
• Understanding how to manage state within React components and the different lifecycle methods used to control component behaviour.
• Ability to create and manage routes within React applications using libraries like React Router.
• Expertise in managing data flow and props throughout React applications.
• Knowledge and proficiency in using React Hooks for state management and lifecycle functions.
• Understanding of Redux for state management in complex React applications.
• Familiarity with the React Developer Tools for debugging and inspecting React components.
• Experience with modern development tools such as npm, Webpack, and Babel.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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