ZipRecruiter

Log In

1

Ai Coding Jobs in Florida (NOW HIRING)

BenefitHub

Backend Developer (Remote)

Tampa, FL · On-site +1

$90K - $105K/yr

Our developers use AI coding agents (Claude Code) daily to plan, implement, debug, document, and review changes - and are expected to direct those agents effectively and stand behind every line they ...

BenefitHub

Backend Developer (Remote)

Tampa, FL · Remote

Our developers use AI coding agents (Claude Code) daily to plan, implement, debug, document, and review changes - and are expected to direct those agents effectively and stand behind every line they ...

Jiffy

Software Development Engineer

Miami, FL · On-site

Orchestrate AI coding agents (Claude Code, Codex, Cursor) across 3-6 concurrent work streams spanning features, refactors, bug fixes, and investigations using worktrees, sub-agents, and background ...

Jiffy

Software Development Engineer

Miami, FL

Orchestrate AI coding agents (Claude Code, Codex, Cursor) across 3-6 concurrent work streams spanning features, refactors, bug fixes, and investigations using worktrees, sub-agents, and background ...

Eliassen Group

Senior AI/ML Engineer

Tallahassee, FL · Remote

$90 - $100/hr

Familiarity with AI coding tools such as Claude and Codex. * Strong problem solving and communication skills with ability to work independently. * AWS certification required such as Solutions ...

next page

Showing results 1-20

All JobsAi Coding JobsAi Coding Jobs in Florida

Ai Coding information

See Florida salary details

$10

$24

$40

How much do ai coding jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for ai coding in Florida is $24.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $29.81 per hour, depending on experience, location, and employer.

Can you get a job coding with AI?

A job coding with AI typically involves developing, training, or deploying AI models and algorithms, often requiring skills in programming languages like Python, machine learning frameworks, and data analysis. Many roles also require a strong understanding of AI concepts, problem-solving abilities, and relevant certifications or degrees. Opportunities exist in tech companies, research institutions, and startups focused on AI development.

What is an AI Coding job?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What are the key skills and qualifications needed to thrive in the Ai Coding position, and why are they important?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

Is coding still a good career with AI?

Coding remains a valuable skill for AI-related roles, including AI coding, as it involves developing and maintaining AI systems and algorithms. While AI automates some programming tasks, demand for skilled developers who understand AI frameworks, programming languages, and data structures continues to grow. Staying updated with new tools and certifications can enhance job prospects in this evolving field.

How much do AI coders earn?

AI coders, also known as AI software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python can command higher salaries.

What are the typical daily responsibilities for someone working in AI Coding?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, strategic planning, and expertise in tools like Python, TensorFlow, or PyTorch, and may require extensive experience or specialized certifications.
What are the most commonly searched types of Ai Coding jobs in Florida? The most popular types of Ai Coding jobs in Florida are:
What are popular job titles related to Ai Coding jobs in Florida? For Ai Coding jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Ai Coding jobs in Florida look for? The top searched job categories for Ai Coding jobs in Florida are:
What cities in Florida are hiring for Ai Coding jobs? Cities in Florida with the most Ai Coding job openings:
Ai Coding jobs near you
Enterprise Security AI Architect

Enterprise Security AI Architect

JM Family Enterprises

Deerfield Beach, FL • On-site

Full-time

Posted 22 days ago

JM Family Enterprises rating

9.3

Company rating: 9.3 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

1st of 143 rated car dealerships

Job description

Enterprise Security AI Architect is responsible for designing, governing, and enabling secure adoption of AI across the enterprise. This role defines and implements the security architecture for AI solutions. This includes GenAI assistants and AI-enabled business applications. It also ensures compliance with regulatory, privacy, and risk requirements.
You will work with many teams. These teams include Enterprise Architecture, Platform, Data, GRC, Product, and various security functions. Some of these security functions are AI Engineering, AppSec, Identity, Cloud Security, Threat & Vulnerability Management, and Security Operations. Your goal is to make sure that AI solutions are secure by design. They should also be scalable and meet enterprise standards. You will promote the secure use of AI for building applications and agents.
You will also help integrate AI security into architecture review boards, the software development life cycle (SDLC), and DevSecOps. This integration helps teams work quickly while keeping risks low. Your work will include enabling AI, which means safely adopting AI tools in the enterprise. It will also involve securing enterprise AI by protecting AI-enabled products, applications, and agents that we build.
This position operates in a hybrid work model based in Deerfield Beach, FL (3 days per week onsite).
Responsibilities:
  • Define and lead the enterprise AI security strategy and roadmap, ensuring secure and scalable adoption of AI capabilities across the organization.
  • Design and maintain enterprise reference architectures for AI solutions, covering SaaS AI, hosted models, GenAI, and AI-enabled applications.
  • Establish and enforce AI security standards, policies, and guardrails, ensuring consistent implementation across all AI initiatives.
  • Develop and operationalize secure AI design patterns (e.g., identity, data protection, model access, prompt security, output controls) that teams can reuse to accelerate delivery.
  • Drive AI Enablement and Securing Enterprise AI: define the secure, sanctioned ways teams use AI to build applications and agents-covering developer tooling (AI coding assistants, agentic IDEs), agent frameworks, MCP/tool integrations, and runtime guardrails-so engineering can adopt AI productively without bypassing security.
  • Lead and facilitate AI-focused threat modeling to identify risks such as data leakage, prompt injection, model abuse, and expanded blast radius, and define required mitigations.
  • Build and maintain Threat Radars and AI risk intelligence, providing visibility into emerging threats, vulnerabilities, and industry trends impacting AI technologies.
  • Partner across enterprise architecture, engineering, data, product, GRC, and security functions including AI Enablement, AppSec, Identity, Cloud Security, Threat & Vulnerability Management, and Security Operations to embed AI security into governance processes (e.g., intake, design reviews, approval boards).
  • Provide architecture guidance and security oversight for AI use cases, ensuring solutions are secure-by-design and aligned with enterprise standards.
  • Evaluate and assess third-party AI vendors and platforms, providing clear risk-based recommendations to leadership.
  • Enable teams through documentation, patterns, and coaching, ensuring AI solutions can be delivered efficiently without increasing risk.
  • Translate complex AI security risks into clear, executive-level insights and recommendations to support informed decision-making.

Qualifications:
  • 15+ years of experience in cybersecurity, with a strong focus on enterprise security architecture within large, complex environments.
  • 5+ years of experience specifically in Enterprise AI Security Architecture, including securing AI/ML, GenAI, or data-driven platforms and services.
  • Proven expertise in designing and implementing enterprise-scale security architectures, including development of reference architectures, security standards, and reusable security patterns.
  • Deep understanding of AI/LLM security risks and controls, including areas such as data protection, model access, prompt security, output handling, and emerging threat vectors.
  • Experience securing AI-assisted software development and agentic systems, including AI coding assistants, agent frameworks, tool/MCP integrations, and the controls needed for safe enterprise use of AI in building applications and agents.
  • Demonstrated experience leading threat modeling initiatives and developing threat intelligence or threat radar capabilities specific to evolving technology domains.
  • Proficient experience with industry security frameworks and standards (e.g., NIST, ISO 27001, CIS, MITRE ATT&CK), and ability to apply them in modern AI and cloud environments.
  • Expertise in cloud security and modern identity architectures (e.g., Zero Trust, SSO, OAuth/OIDC, RBAC/ABAC) across platforms such as Azure.
  • Solid knowledge of data security and privacy principles, including encryption, data classification, DLP, and regulatory considerations.
  • Experience influencing and defining enterprise security roadmaps and strategies, with the ability to align security initiatives to business priorities.
  • Solid track record of partnering across Enterprise Architecture, Engineering, GRC, Data, Product, and other security functions (e.g., AI Enablement, AppSec, Identity, Cloud Security, Threat & Vulnerability Management, Security Operations) to embed security into design and delivery processes.
  • Experience evaluating and securing third-party vendors and platforms, including AI/SaaS solutions, with a risk-based approach.
  • Exemplary communication skills with the ability to translate complex technical risks into clear, executive-level insights and recommendations.
  • Bachelor's degree in computer science, Cybersecurity, Engineering, or equivalent experience; relevant certifications (CISSP, CCSP, SABSA, cloud security certifications) are a plus.

#LI-AM1
#LI-HYBRID
This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of JM Family. All work arrangements are subject to associate performance, business need and manager discretion, and may be revised as necessary.
JM FAMILY IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER
JM Family Enterprises, Inc. is an Equal Employment Opportunity employer. We are committed to recruiting, hiring, retaining, and promoting qualified associates without regard any characteristic protected by law - whether actual or perceived - including race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity gender expression, sexual orientation, marital status, military service, veteran status, disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, provincial, or local law.
DISABILITY ACCOMMODATIONS
If you have a disability and require a reasonable accommodation to complete the job application process, please contact JM Family's Talent Acquisition department at talentacquisition@jmfamily.com for assistance. If you have an accommodation request for one of our recruiting events, please notify us at least 72 hours prior so that we may provide assistance.

What JM Family Enterprises employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply