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Generative Ai Developer Jobs in Naples, FL (NOW HIRING)

Cliftonlarsonallen

Lead ML Ops Engineer

Naples, FL · On-site

$96K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... governance, including generative AI systems. Align AI and MLOps initiatives with business ... Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions ...

Lindsay & Brownell

AI Consulting Manager

Naples, FL · On-site

Collaborate closely with engineering, data, and cross-functional teams to ensure successful ... Experience with Generative AI technologies and AI-enabled business solutions. * Strong ...

New

Eisneramper Llp

AI Consulting Manager

Naples, FL

Collaborate closely with engineering, data, and cross-functional teams to ensure successful ... Experience with Generative AI technologies and AI-enabled business solutions. * Strong ...

New

All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Naples, FL

Generative Ai Developer information

See Naples, FL salary details

$17

$42

$95

How much do generative ai developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for generative ai developer in Naples, FL is $42.65, according to ZipRecruiter salary data. Most workers in this role earn between $22.16 and $51.63 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What job categories do people searching Generative Ai Developer jobs in Naples, FL look for? The top searched job categories for Generative Ai Developer jobs in Naples, FL are:
What cities near Naples, FL are hiring for Generative Ai Developer jobs? Cities near Naples, FL with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Naples, FL as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $88,719 per year, or $42.7 per hour.

Lead ML Ops Engineer

Cliftonlarsonallen

Naples, FL • On-site

$96K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago

CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants

Job description

LA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

How you'll create opportunities in this role:

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.

Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.

Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday leadership through coaching, development, and performance management.

Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining highquality documentation, and driving continuous improvement.

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.

What you will need:

6 years of relevant experience required.

  • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in computer science, data science, or related field preferred.

Technical Competencies

  • Advanced proficiency in Python and architectural mastery of objectoriented design across dynamically typed languages.
  • Broad experience integrating and governing multilanguage systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
  • Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
  • Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
  • Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
  • Strong experience with cloud architecture, security, compliance, and enterprisescale deployments.
  • Proven ability to guide teams in technical decisionmaking and platform strategy.

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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