AI ML Engineering Visa Sponsorship Jobs in Florida
Florida's AI and ML engineering sector is growing fast, with companies like Lockheed Martin, Chewy, and tech-forward health systems in Miami, Orlando, and Tampa actively hiring. The state's expanding tech corridor and university research programs at the University of Florida and UCF feed a steady pipeline of sponsorship-eligible roles across both enterprise and startup employers.
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Get Access To All JobsPosition Type:
Full time
Type Of Hire:
Experienced (relevant combo of work and education)
Job Description
AI/ML Principal Engineer – Banking (Commercial & BPaaS - BOTS)
Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.
About the Role
We are seeking a senior product and commercial leader to define, scale, and monetize Agentic AI solutions/services for the banking industry across banking deposit/loans back office, banking call center, Core Conversion, IT ops, Security and Risk. This role is accountable for turning AI capabilities into market-ready products, client adoption, and measurable revenue growth. You will operate at the intersection of product, sales, and client engagement—owning the full lifecycle from concept through pilot, commercialization, and scaled adoption.
Key Responsibilities:
Market Leadership & Client Engagement
- Establish and lead a Bank AI Working Council to co-develop solutions with clients
- Drive client evangelization and convert early adopters into referenceable accounts
- Represent the organization with industry analysts, at conferences, and in executive client forums
Product Commercialization & Adoption
- Lead pilot and early adopter programs, ensuring successful transition to production deployments
- Translate client feedback into targeted go-to-market strategies and sales plays
- Build momentum from pilots to scaled adoption across banking segments
Market Strategy & Offerings
- Analyze banking segments by size, AUM, and needs to define target markets
- Develop solution packages tailored to specific segments with clear value propositions
- Define total addressable market (TAM), spend potential, and pricing strategies
Innovation & Product Roadmap
- Build and manage a pipeline of new capabilities and enhancements
- Prioritize investments based on ROI, client demand, and revenue potential
- Secure funding and drive alignment across stakeholders
Execution & Delivery
- Partner with product and engineering teams to embed approved concepts into roadmaps
- Drive build/buy/partner decisions and ensure timely delivery through established processes
Growth & Expansion
- Lead market expansion strategy:
- Start with core banking clients
- Expand to non-core banks, payments clients, and enterprise segments
- Scale offerings geographically (North America & international markets)
- Ensure solutions are modular and deployable across varied client environments
Success Metrics:
Client & Market Impact
- Launch a minimum of 3 pilot clients with defined scale or exit criteria
- Secure 2+ referenceable banking clients with permission for external validation
Revenue & Pipeline Growth
- Drive $25M+ in net-new annual contract value (ACV) within 36 months
- Build a qualified pipeline of 20+ banks with a strong expected conversion rate
Product Portfolio Development
- Develop a portfolio of validated product offerings with clear business cases
- Demonstrate measurable client ROI within 9–12 months of deployment, including:
- Reduced cost-to-serve
- Faster cycle times
- Lower fraud losses
- Improved operational productivity
Qualifications
Experience
- 12+ years in product leadership, strategy, or commercialization roles
- Proven success launching and scaling enterprise B2B products, ideally in banking, fintech, or financial services
- Track record of driving revenue growth from new product offerings
Skills & Capabilities
- Strong understanding of banking and IT operations (core, payments, risk, compliance, or back office)
- Demonstrated ability to translate emerging technologies (AI/automation) into commercial solutions
- Experience working across product, sales, and engineering organizations
- Ability to influence senior stakeholders internally and externally
Leadership Profile
- Builder mindset: able to take products from 0 to 1 scale
- Commercially driven: decisions anchored in revenue, margin, and ROI
- Client-centric: trusted advisor to senior leaders within banking organizations
- Execution-focused: delivers outcomes, not just strategy
What we offer you:
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
- A broad range of professional education and personal development possibilities – FIS is your final career step!
- A competitive salary and benefits
- A variety of career development tools, resources and opportunities
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
Position Type:
Full time
Type Of Hire:
Experienced (relevant combo of work and education)
Job Description
AI/ML Principal Engineer – Banking (Commercial & BPaaS - BOTS)
Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.
About the Role
We are seeking a senior product and commercial leader to define, scale, and monetize Agentic AI solutions/services for the banking industry across banking deposit/loans back office, banking call center, Core Conversion, IT ops, Security and Risk. This role is accountable for turning AI capabilities into market-ready products, client adoption, and measurable revenue growth. You will operate at the intersection of product, sales, and client engagement—owning the full lifecycle from concept through pilot, commercialization, and scaled adoption.
Key Responsibilities:
Market Leadership & Client Engagement
- Establish and lead a Bank AI Working Council to co-develop solutions with clients
- Drive client evangelization and convert early adopters into referenceable accounts
- Represent the organization with industry analysts, at conferences, and in executive client forums
Product Commercialization & Adoption
- Lead pilot and early adopter programs, ensuring successful transition to production deployments
- Translate client feedback into targeted go-to-market strategies and sales plays
- Build momentum from pilots to scaled adoption across banking segments
Market Strategy & Offerings
- Analyze banking segments by size, AUM, and needs to define target markets
- Develop solution packages tailored to specific segments with clear value propositions
- Define total addressable market (TAM), spend potential, and pricing strategies
Innovation & Product Roadmap
- Build and manage a pipeline of new capabilities and enhancements
- Prioritize investments based on ROI, client demand, and revenue potential
- Secure funding and drive alignment across stakeholders
Execution & Delivery
- Partner with product and engineering teams to embed approved concepts into roadmaps
- Drive build/buy/partner decisions and ensure timely delivery through established processes
Growth & Expansion
- Lead market expansion strategy:
- Start with core banking clients
- Expand to non-core banks, payments clients, and enterprise segments
- Scale offerings geographically (North America & international markets)
- Ensure solutions are modular and deployable across varied client environments
Success Metrics:
Client & Market Impact
- Launch a minimum of 3 pilot clients with defined scale or exit criteria
- Secure 2+ referenceable banking clients with permission for external validation
Revenue & Pipeline Growth
- Drive $25M+ in net-new annual contract value (ACV) within 36 months
- Build a qualified pipeline of 20+ banks with a strong expected conversion rate
Product Portfolio Development
- Develop a portfolio of validated product offerings with clear business cases
- Demonstrate measurable client ROI within 9–12 months of deployment, including:
- Reduced cost-to-serve
- Faster cycle times
- Lower fraud losses
- Improved operational productivity
Qualifications
Experience
- 12+ years in product leadership, strategy, or commercialization roles
- Proven success launching and scaling enterprise B2B products, ideally in banking, fintech, or financial services
- Track record of driving revenue growth from new product offerings
Skills & Capabilities
- Strong understanding of banking and IT operations (core, payments, risk, compliance, or back office)
- Demonstrated ability to translate emerging technologies (AI/automation) into commercial solutions
- Experience working across product, sales, and engineering organizations
- Ability to influence senior stakeholders internally and externally
Leadership Profile
- Builder mindset: able to take products from 0 to 1 scale
- Commercially driven: decisions anchored in revenue, margin, and ROI
- Client-centric: trusted advisor to senior leaders within banking organizations
- Execution-focused: delivers outcomes, not just strategy
What we offer you:
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
- A broad range of professional education and personal development possibilities – FIS is your final career step!
- A competitive salary and benefits
- A variety of career development tools, resources and opportunities
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
AI ML Engineering Job Roles in Florida
See all 39+ AI ML Engineering Jobs in Florida
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Search AI ML Engineering Jobs in FloridaAI ML Engineering Jobs in Florida: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Florida?
Several Florida employers have established H-1B visa sponsorship histories for AI and ML engineering roles. These include Chewy, headquartered in Dania Beach, defense contractors like Lockheed Martin and L3Harris in the Orlando area, and health technology companies concentrated in Tampa and Miami. Larger financial services firms in Boca Raton and Jacksonville also hire ML engineers with visa sponsorship. Sponsorship willingness varies by company size and hiring volume, so verifying each employer's LCA filing history through public DOL records is worth doing.
Which visa types are most common for AI ML engineering roles in Florida?
The H-1B is the most common visa for AI and ML engineers in Florida, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a closely related field. Candidates from Australia may qualify for the E-3 visa. Canadian and Mexican nationals can pursue TN visa status under the USMCA. O-1A visas are an option for engineers with documented exceptional achievements, such as published research or significant industry recognition.
Which cities in Florida have the most AI ML engineering sponsorship jobs?
Miami leads Florida for AI and ML engineering sponsorship activity, driven by its growing tech startup scene and proximity to Latin American markets attracting investment. Orlando follows closely, anchored by defense and simulation industry employers and proximity to UCF's research programs. Tampa has a rising profile thanks to cybersecurity and health tech companies. Gainesville, home to the University of Florida, also generates sponsorship roles tied to academic and research-adjacent employers.
How to find ai ml engineering visa sponsorship jobs in Florida?
Migrate Mate is built specifically for international job seekers looking for visa sponsorship roles, including AI and ML engineering positions in Florida. You can filter directly by state and role type to see employers actively hiring with sponsorship. This saves significant time compared to manually screening job listings for sponsorship eligibility. Migrate Mate also provides context on visa categories relevant to your background, helping you focus your applications on employers and roles where your profile is the strongest fit.
Are there any Florida-specific considerations for AI ML engineers seeking visa sponsorship?
Florida has no state income tax, which affects prevailing wage comparisons since DOL wage determinations are set at the federal level by metropolitan area. Engineers targeting Miami-Fort Lauderdale or Tampa-St. Petersburg will find prevailing wage benchmarks set for those specific metros, not statewide. Florida's defense and aerospace corridor around Orlando means many roles involve government contracts, which can add security clearance requirements that complicate or limit sponsorship eligibility for foreign nationals early in the process.
What is the prevailing wage for sponsored ai ml engineering jobs in Florida?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.