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Generative Ai Analyst Jobs in Florida (NOW HIRING)

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL · On-site

Participate in rapid prototyping of new generative AI features, running experiments and analyzing performance metrics to guide iterative improvements. * Collaboration & Communication: Work alongside ...

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL

Participate in rapid prototyping of new generative AI features, running experiments and analyzing performance metrics to guide iterative improvements. * Collaboration & Communication: Work alongside ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Florida

Generative Ai Analyst information

See Florida salary details

$36.6K

$66.2K

$92.3K

How much do generative ai analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for generative ai analyst in Florida is $66,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $74,400.00 per year, depending on experience, location, and employer.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

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

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, often exceeding $150,000.

Is Generative AI a promising career?

Generative AI is a rapidly growing field with increasing demand for specialists such as Generative AI Analysts, who develop and refine AI models like GPT and DALL·E. Careers in this area often require skills in machine learning, programming, and data analysis, and offer opportunities across technology, healthcare, entertainment, and other industries. The field is expected to continue expanding as AI applications become more integrated into various sectors.

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

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

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

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

What cities in Florida are hiring for Generative Ai Analyst jobs?

Cities in Florida with the most Generative Ai Analyst job openings:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Florida as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $66,187 per year, or $31.8 per hour.

AI Architect Generative AI, LLMs & AWS

Apexon

West Palm Beach, FL • On-site

$62.75 - $82.25/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.

We enable #HumanFirstDIGITAL

Job Description: AI Architect Generative AI, LLMs & AWS

Role Summary

We are looking for a hands-on AI Architect to lead the design, development, enhancement, and deployment of an enterprise AI platform powered by Large Language Models (LLMs). The ideal candidate will combine strong software engineering skills with deep expertise in Generative AI, Agentic AI, and AWS cloud services to build scalable, secure, and production-ready AI applications.

This role requires active involvement in solution architecture, coding, cloud deployment, performance optimization, and mentoring engineering teams.

Key Responsibilities

  • Design, develop, and enhance an enterprise AI platform integrating multiple Large Language Models (LLMs).
  • Architect and implement scalable AI solutions using modern Agentic AI frameworks and Retrieval-Augmented Generation (RAG) architectures.
  • Build intelligent AI agents capable of reasoning, planning, tool execution, and workflow orchestration.
  • Develop secure, scalable, and highly available cloud-native AI applications on AWS.
  • Design and implement REST APIs and microservices to expose AI capabilities to enterprise applications.
  • Integrate AI services with enterprise systems, databases, APIs, and third-party platforms.
  • Deploy, monitor, and optimize AI workloads on AWS ensuring performance, scalability, security, and cost efficiency.
  • Work closely with product owners and engineering teams to translate business requirements into technical solutions.
  • Drive architecture reviews, code quality, CI/CD automation, and engineering best practices.
  • Evaluate emerging LLMs, AI frameworks, and cloud services to continuously improve the AI platform.
  • Mentor developers and provide technical leadership across AI initiatives.

Required Technical Skills

Generative AI

  • Strong hands-on experience with OpenAI GPT, Anthropic Claude, Llama, Mistral, Amazon Nova, or similar foundation models.
  • Experience building enterprise-grade LLM applications.
  • Expertise in Retrieval-Augmented Generation (RAG).
  • Prompt engineering, prompt optimization, embeddings, semantic search, and model evaluation.
  • Experience integrating multiple LLM providers and managing model orchestration.

Agentic AI

Hands-on experience with one or more of:

  • LangChain
  • LangGraph
  • CrewAI
  • Microsoft Semantic Kernel
  • AutoGen
  • Amazon Bedrock Agents

Experience developing:

  • Multi-agent workflows
  • Tool calling
  • Function calling
  • Memory management
  • Planning and reasoning agents

AWS Cloud

Strong hands-on experience with:

  • Amazon Bedrock
  • Amazon SageMaker
  • AWS Lambda
  • ECS/EKS
  • API Gateway
  • Step Functions
  • Amazon S3
  • DynamoDB
  • Amazon OpenSearch
  • Amazon Aurora
  • CloudWatch
  • IAM
  • VPC
  • EventBridge
  • Secrets Manager

Experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation) is highly desirable.

Programming

  • Python (mandatory)
  • FastAPI / Flask
  • REST APIs
  • Microservices
  • Docker
  • Kubernetes
  • Git
  • CI/CD pipelines

Databases & Search

Experience with:

  • PostgreSQL
  • DynamoDB
  • OpenSearch
  • Pinecone
  • Weaviate
  • Chroma
  • FAISS
  • Milvus

Preferred Qualifications

  • Experience building AI products from concept to production.
  • Strong understanding of LLMOps, MLOps, observability, and AI monitoring.
  • Experience implementing AI guardrails, responsible AI, and enterprise security controls.
  • Familiarity with event-driven and serverless architectures.
  • Knowledge of authentication, authorization, and API security.

Our Commitment to Diversity & Inclusion:

Did you know that Apexon has been Certified by Great Place To Work , the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

Our Commitment to Environment:

Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.

Our Perks and Benefits:

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

We also offer:

o Health Insurance with Dental & Vision

o 401K Plan

o Life Insurance, STD & LTD

o Paid Vacations & Holidays

o Paid Parental Leave

o FSA Dependent & Limited Purpose care

Apply