Artificial Intelligence Scientist Jobs in Florida
Artificial Intelligence Scientist jobs in Florida are highly active, concentrated in defense and aerospace, financial services, healthcare informatics, and enterprise software, with openings from early-career research positions through principal and staff scientist roles. Miami, Orlando, and Tampa drive the most hiring, anchored by employers such as Lockheed Martin, Citigroup, and AdventHealth that maintain large Florida operations requiring applied AI research. The most in-demand specialties are large language model development, computer vision, and reinforcement learning for real-time decision systems. Find a role that fits below and apply directly.
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Showing 5 of 12+ Artificial Intelligence Scientist jobs
About us
Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We’re entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us!
Overview
City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise-grade AI applications, retrieval-augmented generation (RAG) systems, and agentic AI workflows. The engineer will work on real banking use cases involving financial document analysis, credit writing, enterprise knowledge retrieval, risk and fraud prevention, and employee productivity. The ideal candidate combines strong Python software engineering skills with practical experience building, testing, and deploying LLM-powered applications. This is a development-focused role, not a pure research or experimentation position.
- Design, develop, test, and maintain production-quality Python applications for generative AI and applied machine learning.
- Build RAG pipelines using document ingestion, parsing, chunking, embeddings, metadata filtering, hybrid search, reranking, and grounded response generation.
- Develop AI agents and workflow components using LangChain v1 and LangGraph.
- Integrate Azure OpenAI models and Azure AI Search into enterprise AI applications.
- Implement structured outputs using Pydantic, schema validation, deterministic business rules, and robust error handling.
- Build document validation, financial data extraction, summarization, classification, and analysis components.
- Implement automated evaluation datasets and tests to measure retrieval quality, answer correctness, grounding, and regression.
- Develop REST APIs and backend services using FastAPI or an equivalent Python framework.
- Write unit tests, integration tests, and mock-based tests; participate in code reviews and continuous integration.
- Implement secure handling of sensitive banking information, prompt-injection defenses, input validation, and appropriate AI guardrails.
- Deploy containerized applications and contribute to Azure monitoring, logging, troubleshooting, and performance optimization.
- Collaborate with senior engineers, AI leadership, business stakeholders, and risk and compliance teams.
Qualifications
Programming and software engineering
- 4–5 years of professional software development experience, with strong hands-on Python proficiency.
- Strong knowledge of object-oriented programming, data structures, algorithms, modular design, and clean-code principles.
- Experience with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging.
Generative AI and machine learning
- Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs.
- Understanding of transformers, embeddings, tokenization, semantic search, and model inference.
- Hands-on experience with RAG, including document ingestion, chunking strategies, retrieval, grounding, and evaluation.
- Experience with LangChain, LangGraph, or comparable orchestration frameworks. Direct LangGraph experience is strongly preferred.
- Experience with prompt design, structured generation, function/tool calling, and output validation.
- Ability to measure and improve AI quality rather than relying solely on subjective demonstrations.
Cloud and engineering practices
- Experience with Azure or another major cloud platform; Azure experience is preferred.
- Familiarity with Docker, CI/CD, application logging, monitoring, and automated testing.
- Ability to troubleshoot API failures, retrieval defects, latency, token usage, and model-related errors.
Preferred Qualifications
- Experience with Azure AI Search, hybrid search, reranking, or vector databases.
- Experience building AI agents that call enterprise APIs and tools.
- Familiarity with Model Context Protocol (MCP).
- Experience with PostgreSQL, Azure Blob Storage, or document-processing pipelines.
- Experience in banking, financial services, lending, fraud, or another regulated industry.
- Familiarity with responsible AI, data privacy, and auditability.
Education
- Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
- Master's Degree preferred.
Benefits & Perks
We offer a competitive benefits package designed to support your success:
- Health Coverage: Medical, dental, and vision plans with employer contributions.
- Retirement Savings: 401(k) with matching.
- Paid Time Off & Holidays: Generous PTO and paid holidays.
- Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits!
Join City National Bank of Florida. The possibilities are endless.
Special Information To Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair and consistent interview process, applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information. Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request. City National Bank of Florida will engage in the interactive process and provide reasonable accommodations in accordance with applicable law.
About us
Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We’re entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us!
Overview
City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise-grade AI applications, retrieval-augmented generation (RAG) systems, and agentic AI workflows. The engineer will work on real banking use cases involving financial document analysis, credit writing, enterprise knowledge retrieval, risk and fraud prevention, and employee productivity. The ideal candidate combines strong Python software engineering skills with practical experience building, testing, and deploying LLM-powered applications. This is a development-focused role, not a pure research or experimentation position.
- Design, develop, test, and maintain production-quality Python applications for generative AI and applied machine learning.
- Build RAG pipelines using document ingestion, parsing, chunking, embeddings, metadata filtering, hybrid search, reranking, and grounded response generation.
- Develop AI agents and workflow components using LangChain v1 and LangGraph.
- Integrate Azure OpenAI models and Azure AI Search into enterprise AI applications.
- Implement structured outputs using Pydantic, schema validation, deterministic business rules, and robust error handling.
- Build document validation, financial data extraction, summarization, classification, and analysis components.
- Implement automated evaluation datasets and tests to measure retrieval quality, answer correctness, grounding, and regression.
- Develop REST APIs and backend services using FastAPI or an equivalent Python framework.
- Write unit tests, integration tests, and mock-based tests; participate in code reviews and continuous integration.
- Implement secure handling of sensitive banking information, prompt-injection defenses, input validation, and appropriate AI guardrails.
- Deploy containerized applications and contribute to Azure monitoring, logging, troubleshooting, and performance optimization.
- Collaborate with senior engineers, AI leadership, business stakeholders, and risk and compliance teams.
Qualifications
Programming and software engineering
- 4–5 years of professional software development experience, with strong hands-on Python proficiency.
- Strong knowledge of object-oriented programming, data structures, algorithms, modular design, and clean-code principles.
- Experience with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging.
Generative AI and machine learning
- Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs.
- Understanding of transformers, embeddings, tokenization, semantic search, and model inference.
- Hands-on experience with RAG, including document ingestion, chunking strategies, retrieval, grounding, and evaluation.
- Experience with LangChain, LangGraph, or comparable orchestration frameworks. Direct LangGraph experience is strongly preferred.
- Experience with prompt design, structured generation, function/tool calling, and output validation.
- Ability to measure and improve AI quality rather than relying solely on subjective demonstrations.
Cloud and engineering practices
- Experience with Azure or another major cloud platform; Azure experience is preferred.
- Familiarity with Docker, CI/CD, application logging, monitoring, and automated testing.
- Ability to troubleshoot API failures, retrieval defects, latency, token usage, and model-related errors.
Preferred Qualifications
- Experience with Azure AI Search, hybrid search, reranking, or vector databases.
- Experience building AI agents that call enterprise APIs and tools.
- Familiarity with Model Context Protocol (MCP).
- Experience with PostgreSQL, Azure Blob Storage, or document-processing pipelines.
- Experience in banking, financial services, lending, fraud, or another regulated industry.
- Familiarity with responsible AI, data privacy, and auditability.
Education
- Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
- Master's Degree preferred.
Benefits & Perks
We offer a competitive benefits package designed to support your success:
- Health Coverage: Medical, dental, and vision plans with employer contributions.
- Retirement Savings: 401(k) with matching.
- Paid Time Off & Holidays: Generous PTO and paid holidays.
- Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits!
Join City National Bank of Florida. The possibilities are endless.
Special Information To Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair and consistent interview process, applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information. Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request. City National Bank of Florida will engage in the interactive process and provide reasonable accommodations in accordance with applicable law.
See All 12 Artificial Intelligence Scientist Jobs in Florida
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Find JobsArtificial Intelligence Scientist Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Artificial Intelligence Scientist Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Insurance
- Banking & Financial Services
What Florida Employers Look For
The qualifications that appear most often in artificial intelligence scientist jobs across Florida.
- Master's or PhD in computer science, statistics, or a closely related quantitative field
- Proven experience designing and deploying machine learning models in production environments
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Hands-on experience with large language models, computer vision, or reinforcement learning
- Ability to translate complex model outputs into actionable insights for non-technical stakeholders
- Familiarity with cloud infrastructure such as AWS, Google Cloud, or Azure for ML workloads
Artificial Intelligence Scientist Jobs in Florida: Frequently Asked Questions
How do you become a artificial intelligence scientist in Florida?
Becoming an artificial intelligence scientist in Florida typically requires a graduate degree in computer science, mathematics, or a related field, as the role carries no state-issued license. Florida's path is shaped by its dominant sectors: candidates who build portfolios around aerospace simulation, healthcare data, or financial modeling find the strongest reception with Florida employers. Institutions such as the University of Florida, University of Miami, and UCF offer graduate programs and research labs that pipeline directly into Florida industry roles.
How much do artificial intelligence scientists make in Florida?
Artificial intelligence scientists in Florida earn a median of about $119,810 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,780 for the lowest 10% to over $194,840 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire artificial intelligence scientists in Florida?
Employers hiring artificial intelligence scientists in Florida right now include FIS, Jabil, and BST Global, based on current listings on Migrate Mate as of November 2026. Florida's mix of defense contractors, regional banks, and large hospital networks means demand is spread across industries rather than concentrated in a single tech corridor.
Which Florida cities have the most artificial intelligence scientist jobs?
Tampa, Jacksonville, and Melbourne account for the most artificial intelligence scientist openings in Florida. Miami's concentration of financial services and Latin American enterprise headquarters drives demand there, while Orlando's defense, simulation, and theme-park technology industries anchor that market, and Tampa's growing health-tech and cybersecurity sectors pull significant hiring into the bay area.
Are there remote artificial intelligence scientist jobs in Florida?
Yes, and more than most fields, since AI research and model development require only a laptop and cloud access rather than physical presence. About 67% of artificial intelligence scientist openings tied to Florida are remote or hybrid as of November 2026, reflecting how well the work travels. Research, experimentation, and model evaluation tasks are the most consistently offered in fully remote formats, while roles involving proprietary defense data or on-site collaboration with hardware teams tend to require in-person presence.
How can I get hired as a artificial intelligence scientist in Florida with little or no experience?
The most realistic entry path is a research assistantship or internship at a Florida university lab, which transitions directly into industry roles. UCF's AI Initiative, UF's Institute for Data Science and Informatics, and the University of Miami's AI and data science centers all place graduates with Florida employers. Adjacent roles such as data analyst, ML engineer, or data scientist at companies like Citigroup's Jacksonville operations or AdventHealth's analytics teams offer the lateral move that builds applied credentials before a full scientist title is within reach.
Where can I find and apply to artificial intelligence scientist jobs in Florida?
You can find and apply to artificial intelligence scientist jobs in Florida on Migrate Mate, which lists current Florida openings across industries and experience levels. Find roles that fit your background and apply directly to the employers posting them.
See All 12 Artificial Intelligence Scientist Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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