AI Data Specialist Jobs in Florida
AI Data Specialist jobs in Florida are in strong demand, concentrated in technology, financial services, healthcare, and defense contracting, with openings at every level from entry-level analyst through senior data scientist. Miami, Tampa, and Orlando anchor most of the hiring, where established employers like Lockheed Martin, Chewy, and AdventHealth maintain substantial Florida operations. The most sought-after specialties in Florida listings include machine learning model development, natural language processing, and data pipeline engineering. Find a role that fits below and apply directly.
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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 10 AI Data Specialist Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find AI Data Specialist JobsAI Data Specialist Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
AI Data Specialist 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 AI data specialist jobs across Florida.
- Bachelor's degree in computer science, data science, statistics, or a related quantitative field
- Proficiency in Python or R for data manipulation, modeling, and automation workflows
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Ability to query, clean, and transform large datasets using SQL and cloud data platforms
- Familiarity with data visualization tools including Tableau, Power BI, or similar platforms
- Strong communication skills to present analytical findings to non-technical Florida business stakeholders
AI Data Specialist Jobs in Florida: Frequently Asked Questions
How do you become a ai data specialist in Florida?
Florida does not require a state-issued license to work as an ai data specialist, so the path focuses on education and demonstrated skills. Most Florida employers expect at least a bachelor's degree in data science, computer science, statistics, or a related field, with graduate degrees preferred at larger firms. Building a portfolio of projects that shows machine learning, data wrangling, and modeling work is the most effective way to compete in Florida's market.
How much do AI data specialists make in Florida?
AI data specialists in Florida earn a median of about $115,820 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,080 for the lowest 10% to over $174,140 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data specialists in Florida?
Employers hiring ai data specialists in Florida right now include FIS, Jabil, and BST Global, based on current listings on Migrate Mate as of November 2026. Florida's blend of defense contractors, large health systems, and financial technology firms means openings appear across a wider range of industries than most states.
Which Florida cities have the most ai data specialist jobs?
Tampa, Jacksonville, and Melbourne have the most ai data specialist openings in Florida. Miami drives volume through its fintech and international business hub, Tampa through its growing technology corridor and healthcare systems, and Orlando through defense contracting and simulation technology companies that make Central Florida a consistent source of specialized data roles.
Are there remote ai data specialist jobs in Florida?
Yes, and more than most fields. About 60% of ai data specialist openings tied to Florida are remote or hybrid as of November 2026, reflecting how naturally this desk-based, analytical role adapts to distributed work. Model development, data pipeline work, and research-focused positions are most likely to be listed as fully remote, while roles requiring access to proprietary systems or on-site collaboration tend to be hybrid.
How can I get hired as a ai data specialist in Florida with little or no experience?
The most realistic entry path is targeting junior data analyst or associate data scientist roles at Florida's large health systems, defense contractors, or financial institutions, which regularly bring in candidates without extensive experience. AdventHealth and Florida Blue run analytics associate programs that serve as structured entry points. Building a GitHub portfolio with Florida-relevant datasets, earning a cloud certification such as Google Professional Data Engineer or AWS Certified Machine Learning Specialty, and applying to data engineering or BI analyst roles as lateral moves also open the door quickly.
Where can I find and apply to ai data specialist jobs in Florida?
You can find and apply to ai data specialist jobs in Florida on Migrate Mate, which lists current Florida openings across industries and hiring regions. Search the listings for roles that match your experience level and specialization, then apply directly to the ones that fit.
See All 10 AI Data Specialist Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find AI Data Specialist Jobs