Senior AI Software Engineer Jobs in Florida
Senior AI Software Engineer jobs in Florida are in strong and active demand, concentrated in aerospace and defense, financial technology, healthcare technology, and enterprise software sectors, with openings at every level from mid-level practitioner to principal engineer. Miami, Orlando, and Tampa account for the largest share of hiring, anchored by employers like Lockheed Martin, Citigroup's technology operations, and AdventHealth's digital health division. The most sought-after specializations in Florida right now are large language model development, MLOps and model deployment at scale, and AI integration for regulated industries like finance and healthcare. Find a role that fits below and apply directly.
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Showing 5 of 19+ Senior AI Software Engineer jobs
Department:
- Data Science & Data Engineering Leadership
Location:
- Tampa, FL or Remote
Summary of Duties & Responsibilities
As a Technical Lead – AI & Analytics at BST Global, you will lead a team of data engineers, data scientists, and full stack engineers in the design, development, and delivery of machine learning models, data pipelines, and analytics products built on Microsoft Azure and Fabric technologies. This role requires expertise in data engineering, with knowledge of machine learning and web development. Leadership responsibilities include holding staff accountable for deliverables, providing constructive feedback, monitoring work assignments, and managing stakeholder expectations.
This role leads the AI and analytics capabilities of BST Global’s ERP system. This requires gaining knowledge of BST Global’s proprietary model architecture, Microsoft Fabric, Power BI reporting, semantic models, and understanding database mirroring and real-time data analysis.
Essential Functions
What You’ll Do
- Lead, mentor, and coach a cross-functional team of data scientists and data engineers; monitor work assignments, track milestones, and hold staff accountable for the quality and timeliness of deliverables
- Manage stakeholder expectations by proactively communicating progress, risks, and trade-offs to technical and non-technical audiences
- Drive the end-to-end engineering lifecycle, including feature engineering, model architecture and design, training, validation, deployment, and monitoring
- Architect scalable, resilient data pipelines using Microsoft Fabric native orchestration tools and lead data modeling and warehousing efforts, leveraging medallion architecture and Fabric Lakehouse
- Establish and enforce engineering standards for ETL/ELT processes, code quality, version control, CI/CD, and security, including row-level and object-level controls
- Participate in and lead Agile ceremonies; accurately estimate assignments and maintain technical documentation
- Assist with interviewing and onboarding new team members to ensure team sustainability
What We’re Looking For
- Data Engineering Proficiency: Expert-level understanding of ETL/ELT pipelines, data warehousing, medallion architecture and orchestration tools; prior experience leading data engineering teams building enterprise-scale data platforms
- Knowledge and Understanding of Data Science: Exposure to ML model architecture and design, including supervised and unsupervised learning, deep learning, NLP, and time-series forecasting; prior experience working with data science teams desired
- Leadership & Accountability: Proven ability to set clear expectations, monitor deliverables, provide constructive feedback and hold team members accountable; skilled at managing stakeholder expectations across technical and business audiences
- Problem-Solving & Communication: Strong analytical skills with the ability to break down complex problems and develop effective solutions; effectively articulate ideas and collaborate across cross-functional teams
Skills & Competencies
- Programming
- Python (expert), T-SQL (advanced), Spark/PySpark (advanced)
- Data Engineering
- ETL/ELT pipelines (expert), data modeling (advanced), data warehousing (expert), Medallion Architecture
- ML & Data Science
- Knowledge and experience executing and monitoring machine learning models
- Platforms & Tools
- Microsoft Azure and Fabric, Lakehouse, OneLake, semantic models (advanced), Power BI reporting
- Cloud & Security
- Azure compute, storage databases and developer tools (advanced); row-level and object-level security; performance monitoring and optimization
- DevOps & Process
- Azure DevOps Git, CI/CD pipelines, RESTful APIs, agile/scrum, Microsoft Power BI
Desired Skills
Cloud cost optimization strategies
Cross-tenant data sharing and Microsoft Power BI/semantic model sharing in Microsoft Fabric
Observability tooling and platform monitoring
Knowledge of project management and financial concepts, including budgets, revenue, profit and earned value
Certifications in Microsoft Azure, Python, Fabric or SQL desired
Education or Prior Work Experience
Bachelor’s degree in computer science, data science, statistics, mathematics or a related field; master’s degree preferred; 7+ years in data engineering and/or data science, with at least 3 years in a technical leadership role overseeing cross-functional data teams
Reports To
Director, Engineering
Number Supervised
10–15 (data scientists, data engineers and full stack engineers)
Travel
Up to 5%
Classification
Exempt
Work Environment & Physical Demands
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
Department:
- Data Science & Data Engineering Leadership
Location:
- Tampa, FL or Remote
Summary of Duties & Responsibilities
As a Technical Lead – AI & Analytics at BST Global, you will lead a team of data engineers, data scientists, and full stack engineers in the design, development, and delivery of machine learning models, data pipelines, and analytics products built on Microsoft Azure and Fabric technologies. This role requires expertise in data engineering, with knowledge of machine learning and web development. Leadership responsibilities include holding staff accountable for deliverables, providing constructive feedback, monitoring work assignments, and managing stakeholder expectations.
This role leads the AI and analytics capabilities of BST Global’s ERP system. This requires gaining knowledge of BST Global’s proprietary model architecture, Microsoft Fabric, Power BI reporting, semantic models, and understanding database mirroring and real-time data analysis.
Essential Functions
What You’ll Do
- Lead, mentor, and coach a cross-functional team of data scientists and data engineers; monitor work assignments, track milestones, and hold staff accountable for the quality and timeliness of deliverables
- Manage stakeholder expectations by proactively communicating progress, risks, and trade-offs to technical and non-technical audiences
- Drive the end-to-end engineering lifecycle, including feature engineering, model architecture and design, training, validation, deployment, and monitoring
- Architect scalable, resilient data pipelines using Microsoft Fabric native orchestration tools and lead data modeling and warehousing efforts, leveraging medallion architecture and Fabric Lakehouse
- Establish and enforce engineering standards for ETL/ELT processes, code quality, version control, CI/CD, and security, including row-level and object-level controls
- Participate in and lead Agile ceremonies; accurately estimate assignments and maintain technical documentation
- Assist with interviewing and onboarding new team members to ensure team sustainability
What We’re Looking For
- Data Engineering Proficiency: Expert-level understanding of ETL/ELT pipelines, data warehousing, medallion architecture and orchestration tools; prior experience leading data engineering teams building enterprise-scale data platforms
- Knowledge and Understanding of Data Science: Exposure to ML model architecture and design, including supervised and unsupervised learning, deep learning, NLP, and time-series forecasting; prior experience working with data science teams desired
- Leadership & Accountability: Proven ability to set clear expectations, monitor deliverables, provide constructive feedback and hold team members accountable; skilled at managing stakeholder expectations across technical and business audiences
- Problem-Solving & Communication: Strong analytical skills with the ability to break down complex problems and develop effective solutions; effectively articulate ideas and collaborate across cross-functional teams
Skills & Competencies
- Programming
- Python (expert), T-SQL (advanced), Spark/PySpark (advanced)
- Data Engineering
- ETL/ELT pipelines (expert), data modeling (advanced), data warehousing (expert), Medallion Architecture
- ML & Data Science
- Knowledge and experience executing and monitoring machine learning models
- Platforms & Tools
- Microsoft Azure and Fabric, Lakehouse, OneLake, semantic models (advanced), Power BI reporting
- Cloud & Security
- Azure compute, storage databases and developer tools (advanced); row-level and object-level security; performance monitoring and optimization
- DevOps & Process
- Azure DevOps Git, CI/CD pipelines, RESTful APIs, agile/scrum, Microsoft Power BI
Desired Skills
Cloud cost optimization strategies
Cross-tenant data sharing and Microsoft Power BI/semantic model sharing in Microsoft Fabric
Observability tooling and platform monitoring
Knowledge of project management and financial concepts, including budgets, revenue, profit and earned value
Certifications in Microsoft Azure, Python, Fabric or SQL desired
Education or Prior Work Experience
Bachelor’s degree in computer science, data science, statistics, mathematics or a related field; master’s degree preferred; 7+ years in data engineering and/or data science, with at least 3 years in a technical leadership role overseeing cross-functional data teams
Reports To
Director, Engineering
Number Supervised
10–15 (data scientists, data engineers and full stack engineers)
Travel
Up to 5%
Classification
Exempt
Work Environment & Physical Demands
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
See All 19 Senior AI Software Engineer Jobs in Florida
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Find JobsSenior AI Software Engineer Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Education
- Insurance
What Florida Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across Florida.
- Bachelor's or master's degree in computer science, AI, or a closely related engineering field
- Five or more years of hands-on experience building and deploying machine learning or AI systems
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Demonstrated experience designing LLM pipelines, RAG architectures, or generative AI applications
- Experience with cloud platforms like AWS, Google Cloud, or Azure for model training and inference
- Strong communication skills for collaborating with cross-functional product and data science teams
Senior AI Software Engineer Jobs in Florida: Frequently Asked Questions
How do you become a senior ai software engineer in Florida?
Senior ai software engineer roles in Florida do not require a state-issued license, so the path runs through education and demonstrated experience. Most Florida employers expect a bachelor's degree in computer science, machine learning, or a related field, with a master's degree preferred at senior levels. Candidates typically spend several years building AI or ML systems in industry before reaching the senior designation. Contributing to open-source AI projects or publishing applied research strengthens a Florida application considerably.
How much do senior AI software engineers make in Florida?
Senior AI software engineers in Florida earn a median of about $130,980 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,050 for the lowest 10% to over $204,400 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ai software engineers in Florida?
Employers hiring senior ai software engineers in Florida right now include City National Bank of Florida, FIS, and University of Florida, based on current listings on Migrate Mate as of November 2026. Florida's mix of defense contractors, financial services firms, and large health systems means demand comes from a wider range of industries than in most states.
Which Florida cities have the most senior ai software engineer jobs?
Tampa, Coral Gables, and Jacksonville lead Florida in senior ai software engineer openings. Miami drives volume through its growing fintech and enterprise software corridor, Orlando is anchored by simulation, aerospace, and theme park technology firms, and Tampa draws on a strong cybersecurity and financial services base that increasingly integrates AI into core products.
Are there remote senior ai software engineer jobs in Florida?
Yes, and more than most fields. About 33% of senior ai software engineer openings tied to Florida are remote or hybrid as of November 2026, reflecting how naturally the work lends itself to distributed teams. Model development, research, and backend AI engineering are the functions most commonly offered as fully remote, while roles involving embedded systems or classified defense contracts tend to require on-site presence.
How can I get hired as a senior ai software engineer in Florida with little or no experience?
The most realistic entry path is securing an associate or junior machine learning engineer role and building toward the senior level from there. Large Florida employers like Lockheed Martin and major Florida health systems hire new graduates into rotational technology programs and AI-focused associate engineer tracks. Candidates transitioning from adjacent roles such as data analyst, software developer, or research scientist can move into AI engineering by completing a focused ML portfolio and obtaining a cloud certification from AWS or Google. Florida universities like the University of Florida and the University of Central Florida also run strong applied AI programs with direct recruiting pipelines into in-state employers.
Where can I find and apply to senior ai software engineer jobs in Florida?
You can find and apply to senior ai software engineer jobs in Florida on Migrate Mate, which lists current Florida openings updated regularly. Search the available roles, find the ones that fit your background and location preference, and apply directly to the employers through the listings.
See All 19 Senior AI Software Engineer Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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