Software Engineer AI Visa Sponsorship Jobs in Florida
Florida's AI engineering sector is growing fast, with companies in Miami, Orlando, and Tampa hiring software engineers focused on machine learning, large language models, and AI infrastructure. Major employers including Chewy, Citrix, and tech-forward defense contractors in the state actively pursue international talent and have established visa sponsorship programs for qualified candidates.
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Position: Agentic AI Software Developer
Hybrid to Saint Petersburg, FL
Contract Duration: 12+ Months
Client is pioneering a new class of agentic AI systems—intelligent, adaptive platforms that continuously learn from firm knowledge and act responsibly to enhance decision-making and client outcomes. These systems will enable real-time knowledge orchestration and insight generation across the enterprise, amplifying the collective intelligence of our advisors, associates, and business units. As part of the Agentic AI Data Science team, you will architect and deliver scalable, secure, and high-performance agentic solutions using and extending frameworks such as Strands, CrewAI, LangGraph, Agent Core, and related technologies. You will help design the foundational infrastructure that allows these systems to learn safely, adapt in real time, and deliver measurable value—all while operating within the disciplined, client-first culture that defines the client. This is a hands-on engineering role requiring exceptional technical depth, strong design judgment, and a passion for building systems that are both innovative and enduring. You’ll collaborate across engineering, data, and governance teams to ensure every solution balances speed, integrity, and long-term impact.
Essential Duties and Responsibilities
- Architect and Build Agentic Systems: Design and implement agentic AI architectures capable of reasoning, planning, and self-adaptation within firm-approved security and compliance boundaries.
- Leverage and Extend Frameworks: Utilize and enhance frameworks such as Strands, CrewAI, LangGraph, and Agent Core to create standardized, reusable components that accelerate agentic development across teams.
- Cloud Engineering: Develop secure, resilient, and scalable cloud-native solutions using AWS services (Lambda, ECS, S3, API Gateway, SageMaker, Bedrock, etc.) to support production-grade AI operations.
- Monitoring and Evaluation: Implement metrics, tracing, and evaluation pipelines that ensure transparency, reliability, and continuous improvement in agentic behavior.
- Integration and Governance: Collaborate with security, risk, and compliance to embed governance, auditability, and ethical safeguards into all systems.
- Collaboration: Partner with data science, enterprise architecture, and application engineering teams to integrate agentic capabilities into firm platforms.
- Innovation Leadership: Research, test, and recommend new frameworks and patterns that responsibly advance the firm’s AI capabilities.
- Ownership: Drive full lifecycle delivery—from technical design through deployment and iteration—maintaining high standards of reliability and documentation.
Other responsibilities as assigned.
Impact and Opportunity
This role is at the leading edge of client's AI evolution—building systems that convert the firm’s collective intelligence into secure, adaptive knowledge that serves clients better every day. It’s demanding work—technically complex, mission-critical, and transformative—but it’s work that matters. You’ll have the opportunity to shape the systems that define how knowledge flows, how teams collaborate, and how the firm competes at the top of the industry for years to come.
Skills
Technical Strengths:
- Proficiency in Python (with experience in TypeScript, Go, or Java a plus).
- Solid understanding of AWS architecture and services—deployment, monitoring, security, and cost optimization.
- Familiarity with agentic or LLM frameworks such as Strands, CrewAI, LangGraph, Agent Core, or similar.
- Experience with retrieval systems, vector databases, embeddings, and orchestration frameworks.
- Strong grounding in secure API design, data modeling, and CI/CD automation.
- Proven record of writing clean, testable, production-grade code.
Mindset: Deep curiosity, bias toward execution, and respect for precision and reliability. Financial services experience preferred but not required.
Competencies and Behaviors:
- Analytical Thinking: Deconstruct complex technical and business challenges into clear, scalable solutions.
- Communication: Translate advanced technical concepts into shared understanding across business, technology, and risk partners.
- Judgment: Balance innovation with security, compliance, and long-term maintainability.
- Technical Mastery: Maintain and expand expertise in agentic AI, cloud engineering, and software craftsmanship.
- Collaboration: Work cross-functionally with integrity and respect, ensuring outcomes align with the firm’s mission and standards.
- Client Focus and Integrity: Make decisions grounded in what best serves clients and the firm’s long-term stability—acting with transparency and accountability.
Education/Background:
Bachelor’s degree in Computer Science, Engineering, or related field; equivalent experience considered.
Experience:
5+ years of professional software engineering, with demonstrated success in building scalable distributed systems or AI-powered platforms.

Position: Agentic AI Software Developer
Hybrid to Saint Petersburg, FL
Contract Duration: 12+ Months
Client is pioneering a new class of agentic AI systems—intelligent, adaptive platforms that continuously learn from firm knowledge and act responsibly to enhance decision-making and client outcomes. These systems will enable real-time knowledge orchestration and insight generation across the enterprise, amplifying the collective intelligence of our advisors, associates, and business units. As part of the Agentic AI Data Science team, you will architect and deliver scalable, secure, and high-performance agentic solutions using and extending frameworks such as Strands, CrewAI, LangGraph, Agent Core, and related technologies. You will help design the foundational infrastructure that allows these systems to learn safely, adapt in real time, and deliver measurable value—all while operating within the disciplined, client-first culture that defines the client. This is a hands-on engineering role requiring exceptional technical depth, strong design judgment, and a passion for building systems that are both innovative and enduring. You’ll collaborate across engineering, data, and governance teams to ensure every solution balances speed, integrity, and long-term impact.
Essential Duties and Responsibilities
- Architect and Build Agentic Systems: Design and implement agentic AI architectures capable of reasoning, planning, and self-adaptation within firm-approved security and compliance boundaries.
- Leverage and Extend Frameworks: Utilize and enhance frameworks such as Strands, CrewAI, LangGraph, and Agent Core to create standardized, reusable components that accelerate agentic development across teams.
- Cloud Engineering: Develop secure, resilient, and scalable cloud-native solutions using AWS services (Lambda, ECS, S3, API Gateway, SageMaker, Bedrock, etc.) to support production-grade AI operations.
- Monitoring and Evaluation: Implement metrics, tracing, and evaluation pipelines that ensure transparency, reliability, and continuous improvement in agentic behavior.
- Integration and Governance: Collaborate with security, risk, and compliance to embed governance, auditability, and ethical safeguards into all systems.
- Collaboration: Partner with data science, enterprise architecture, and application engineering teams to integrate agentic capabilities into firm platforms.
- Innovation Leadership: Research, test, and recommend new frameworks and patterns that responsibly advance the firm’s AI capabilities.
- Ownership: Drive full lifecycle delivery—from technical design through deployment and iteration—maintaining high standards of reliability and documentation.
Other responsibilities as assigned.
Impact and Opportunity
This role is at the leading edge of client's AI evolution—building systems that convert the firm’s collective intelligence into secure, adaptive knowledge that serves clients better every day. It’s demanding work—technically complex, mission-critical, and transformative—but it’s work that matters. You’ll have the opportunity to shape the systems that define how knowledge flows, how teams collaborate, and how the firm competes at the top of the industry for years to come.
Skills
Technical Strengths:
- Proficiency in Python (with experience in TypeScript, Go, or Java a plus).
- Solid understanding of AWS architecture and services—deployment, monitoring, security, and cost optimization.
- Familiarity with agentic or LLM frameworks such as Strands, CrewAI, LangGraph, Agent Core, or similar.
- Experience with retrieval systems, vector databases, embeddings, and orchestration frameworks.
- Strong grounding in secure API design, data modeling, and CI/CD automation.
- Proven record of writing clean, testable, production-grade code.
Mindset: Deep curiosity, bias toward execution, and respect for precision and reliability. Financial services experience preferred but not required.
Competencies and Behaviors:
- Analytical Thinking: Deconstruct complex technical and business challenges into clear, scalable solutions.
- Communication: Translate advanced technical concepts into shared understanding across business, technology, and risk partners.
- Judgment: Balance innovation with security, compliance, and long-term maintainability.
- Technical Mastery: Maintain and expand expertise in agentic AI, cloud engineering, and software craftsmanship.
- Collaboration: Work cross-functionally with integrity and respect, ensuring outcomes align with the firm’s mission and standards.
- Client Focus and Integrity: Make decisions grounded in what best serves clients and the firm’s long-term stability—acting with transparency and accountability.
Education/Background:
Bachelor’s degree in Computer Science, Engineering, or related field; equivalent experience considered.
Experience:
5+ years of professional software engineering, with demonstrated success in building scalable distributed systems or AI-powered platforms.
Software Engineer AI Job Roles in Florida
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Search Software Engineer AI Jobs in FloridaSoftware Engineer AI Jobs in Florida: Frequently Asked Questions
Which companies sponsor visas for software engineer AIs in Florida?
Florida's largest visa sponsors for AI engineering roles include Chewy, Citrix Systems, L3Harris Technologies, AdventHealth, and a growing cluster of fintech and healthtech startups in Miami's Brickell tech corridor. Large enterprise technology employers and defense contractors in the Orlando area have particularly active sponsorship programs, as they rely on specialized AI and machine learning talent that can be difficult to source domestically.
Which visa types are most common for software engineer AI roles in Florida?
The H-1B is the most common visa category for AI software engineers in Florida, as these roles typically require a bachelor's degree or higher in computer science, engineering, or a related field and qualify as specialty occupations. Candidates with advanced degrees may also encounter EB-2 NIW pathways during permanent residency planning. Australians working in AI engineering in Florida may qualify for the E-3 visa, which bypasses the H-1B lottery entirely.
Which cities in Florida have the most software engineer AI sponsorship jobs?
Miami leads Florida for AI engineering sponsorship activity, driven by rapid tech sector growth and proximity to Latin American markets attracting international investment. Orlando follows closely, anchored by defense, simulation, and gaming technology employers who hire heavily in AI and machine learning. Tampa has an expanding healthtech and fintech presence, while Jacksonville hosts financial services companies with growing AI engineering teams and active H-1B sponsorship histories.
How to find software engineer ai visa sponsorship jobs in Florida?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter software engineer AI roles directly to Florida. Unlike general job boards, every listing on Migrate Mate is screened for sponsorship eligibility, saving you time spent applying to roles where international candidates aren't considered. Setting up a profile and targeting Florida-based AI engineering roles gives you a focused, sponsorship-confirmed job pipeline in one place.
Are there state-specific factors that affect AI engineering sponsorship in Florida?
Florida has no state income tax, which influences how employers structure compensation packages for sponsored roles, though prevailing wage requirements under the H-1B program are determined by the Department of Labor based on the specific metropolitan area, not state-level tax policy. Florida's university pipeline, including the University of Florida and University of Central Florida, produces significant AI research talent and has strong employer relationships, giving candidates with Florida academic credentials some additional visibility with in-state sponsors.
What is the prevailing wage for sponsored software engineer ai 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.
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