AI Architect Jobs in Florida
AI Architect jobs in Florida are in strong and growing demand, concentrated in financial services, defense contracting, healthcare technology, and enterprise software, with openings at every level from associate to principal and staff. Miami, Tampa, and Orlando anchor the hiring market, with established employers such as Lockheed Martin, Citigroup, and AdventHealth consistently seeking ai architects across their Florida operations. The most sought-after specialties in Florida listings are large language model integration, cloud-native AI platform design, and MLOps infrastructure. Find a role that fits below and apply directly.
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Summary:
We are seeking a visionary Senior AI Architect to design and build the intelligent orchestration layers and robust data architectures that power ADT’s next-generation AI initiatives. In this role, you will be the driving force behind our enterprise adoption of state-of-the-art LLMs (Gemini Enterprise, OpenAI) and advanced AI orchestration frameworks. Because powerful AI requires exceptional data foundations, you will focus heavily on designing the real-time data pipelines, relational and analytical engines, and retrieval systems necessary to ground our models in reality, leveraging streaming IoT, video, and sensor data. Additionally, you will champion & partner with engineering teams on use of AI-native developer tools like Cursor and Claude Code to hyper-charge our SDLC.
Duties and Responsibilities:
Enterprise AI Strategy: Architect and deploy scalable AI solutions leveraging Gemini Enterprise, OpenAI, and Anthropic (Claude) models to solve complex business and security challenges.
Build Agentic Systems: Design and deploy multi-agent AI solutions with advanced orchestration, memory systems, and secure tool integration.
Data Architecture for AI: Design the underlying data architecture required to feed high-quality, real-time data into AI systems, emphasizing massively scalable relational and analytical data stores.
Real-Time AI Pipelines: Enable high-throughput processing of streaming IoT, video, sensor, and event data using event streaming and publish-subscribe messaging systems.
Multi-Modal AI Integration: Apply computer vision, event detection, anomaly detection, and video intelligence to real-world edge and cloud scenarios.
Developer Productivity: Spearhead the adoption of AI-native development environments, specifically driving the integration of Cursor and Claude Code, Gemini Enterprise alongside tools like Bitbucket & GitHub, into engineering workflows.
RAG & Context Systems: Architect scalable Retrieval-Augmented Generation (RAG) systems, integrating vector databases and semantic search to ground LLMs in enterprise data.
AI Platform Scale & Efficiency: Architect secure, scalable, and cost-efficient AI platforms across multi-cloud environments, optimizing model latency, token usage, and system costs.
Responsible AI & Governance: Implement AI governance, privacy preservation, security protocols, and compliance best practices.
Cross-Functional Leadership: Partner with Data Engineering, Product, and Security teams to mentor teams, guide architecture decisions, and ensure AI solutions are deeply integrated into ADT’s ecosystem.
Qualifications and Requirements:
Education:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field (or an equivalent amount of work experience).
Experience:
15+ years of core experience in software engineering, data engineering, or cloud architecture.
AI/ML Experience: 4+ years of hands-on experience designing and delivering production-grade machine learning or AI systems.
GenAI Experience:
2+ years of direct experience building and deploying GenAI applications, LLMs, or agent-based solutions.
Platform & Integration Ecosystems: Hands-on experience working with GCP, and familiarity with Salesforce and Oracle Cloud platforms, including their corresponding data services and integration tools.
Enterprise AI Platforms: Experience with customer experience and service management AI platforms (such as Sierra, Google Agent Assist, or ServiceNow AI) is a strong plus.
System Design: Proven track record of designing and implementing complex, distributed solutions on multiple enterprise-scale platforms.
Technical Expertise:
Core LLMs: Gemini Enterprise, OpenAI (GPT-4o), Anthropic (Claude).
Agent Frameworks: LangChain, LangGraph, AutoGen, CrewAI, or custom orchestration frameworks.
AI Developer Tools: Cursor, Claude Code, GitHub Copilot.
Data Pipelines & Event Streaming: Apache Kafka and Google Cloud Pub/Sub for real-time messaging, stream processing, and event-driven architectures.
Enterprise Data Stores: Google Cloud Spanner (for scalable, highly consistent relational data) and Google Cloud BigQuery (for large-scale data warehousing and analytical processing).
Context & Semantics: Vector Databases (BigQuery, Pinecone, pgvector, Milvus, Weaviate), embeddings, vector search, and semantic indexing.
Cloud & Infrastructure: GCP, Terraform, Vertex AI, Kubernetes, and modern microservice APIs.
Enterprise AI Platforms (Bonus): Sierra, Google Agent Assist, Gemini Enterprise, ServiceNow AI platforms.
Programming Languages: Strong programming skills in Python, with TypeScript, Java, or Go as a plus.
Certifications: Cloud or AI certifications (Google, Microsoft, AWS) are highly preferred.
Professional Skills:
Excellent communication, cross-functional collaboration, and creative problem-solving skills.
Summary:
We are seeking a visionary Senior AI Architect to design and build the intelligent orchestration layers and robust data architectures that power ADT’s next-generation AI initiatives. In this role, you will be the driving force behind our enterprise adoption of state-of-the-art LLMs (Gemini Enterprise, OpenAI) and advanced AI orchestration frameworks. Because powerful AI requires exceptional data foundations, you will focus heavily on designing the real-time data pipelines, relational and analytical engines, and retrieval systems necessary to ground our models in reality, leveraging streaming IoT, video, and sensor data. Additionally, you will champion & partner with engineering teams on use of AI-native developer tools like Cursor and Claude Code to hyper-charge our SDLC.
Duties and Responsibilities:
Enterprise AI Strategy: Architect and deploy scalable AI solutions leveraging Gemini Enterprise, OpenAI, and Anthropic (Claude) models to solve complex business and security challenges.
Build Agentic Systems: Design and deploy multi-agent AI solutions with advanced orchestration, memory systems, and secure tool integration.
Data Architecture for AI: Design the underlying data architecture required to feed high-quality, real-time data into AI systems, emphasizing massively scalable relational and analytical data stores.
Real-Time AI Pipelines: Enable high-throughput processing of streaming IoT, video, sensor, and event data using event streaming and publish-subscribe messaging systems.
Multi-Modal AI Integration: Apply computer vision, event detection, anomaly detection, and video intelligence to real-world edge and cloud scenarios.
Developer Productivity: Spearhead the adoption of AI-native development environments, specifically driving the integration of Cursor and Claude Code, Gemini Enterprise alongside tools like Bitbucket & GitHub, into engineering workflows.
RAG & Context Systems: Architect scalable Retrieval-Augmented Generation (RAG) systems, integrating vector databases and semantic search to ground LLMs in enterprise data.
AI Platform Scale & Efficiency: Architect secure, scalable, and cost-efficient AI platforms across multi-cloud environments, optimizing model latency, token usage, and system costs.
Responsible AI & Governance: Implement AI governance, privacy preservation, security protocols, and compliance best practices.
Cross-Functional Leadership: Partner with Data Engineering, Product, and Security teams to mentor teams, guide architecture decisions, and ensure AI solutions are deeply integrated into ADT’s ecosystem.
Qualifications and Requirements:
Education:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field (or an equivalent amount of work experience).
Experience:
15+ years of core experience in software engineering, data engineering, or cloud architecture.
AI/ML Experience: 4+ years of hands-on experience designing and delivering production-grade machine learning or AI systems.
GenAI Experience:
2+ years of direct experience building and deploying GenAI applications, LLMs, or agent-based solutions.
Platform & Integration Ecosystems: Hands-on experience working with GCP, and familiarity with Salesforce and Oracle Cloud platforms, including their corresponding data services and integration tools.
Enterprise AI Platforms: Experience with customer experience and service management AI platforms (such as Sierra, Google Agent Assist, or ServiceNow AI) is a strong plus.
System Design: Proven track record of designing and implementing complex, distributed solutions on multiple enterprise-scale platforms.
Technical Expertise:
Core LLMs: Gemini Enterprise, OpenAI (GPT-4o), Anthropic (Claude).
Agent Frameworks: LangChain, LangGraph, AutoGen, CrewAI, or custom orchestration frameworks.
AI Developer Tools: Cursor, Claude Code, GitHub Copilot.
Data Pipelines & Event Streaming: Apache Kafka and Google Cloud Pub/Sub for real-time messaging, stream processing, and event-driven architectures.
Enterprise Data Stores: Google Cloud Spanner (for scalable, highly consistent relational data) and Google Cloud BigQuery (for large-scale data warehousing and analytical processing).
Context & Semantics: Vector Databases (BigQuery, Pinecone, pgvector, Milvus, Weaviate), embeddings, vector search, and semantic indexing.
Cloud & Infrastructure: GCP, Terraform, Vertex AI, Kubernetes, and modern microservice APIs.
Enterprise AI Platforms (Bonus): Sierra, Google Agent Assist, Gemini Enterprise, ServiceNow AI platforms.
Programming Languages: Strong programming skills in Python, with TypeScript, Java, or Go as a plus.
Certifications: Cloud or AI certifications (Google, Microsoft, AWS) are highly preferred.
Professional Skills:
Excellent communication, cross-functional collaboration, and creative problem-solving skills.
See All 24 AI Architect Jobs in Florida
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Find AI Architect JobsAI Architect Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
AI Architect Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Insurance
- Technology & Software
- Consulting & Professional Services
What Florida Employers Look For
The qualifications that appear most often in AI architect jobs across Florida.
- Bachelor's or master's degree in computer science, AI, or a related engineering discipline
- Demonstrated experience designing and deploying large-scale machine learning or deep learning systems
- Proficiency with cloud AI platforms such as AWS SageMaker, Azure Machine Learning, or Google Vertex AI
- Experience leading cross-functional teams through the full AI solution lifecycle from scoping to production
- Familiarity with MLOps practices including model versioning, monitoring, and automated retraining pipelines
- Strong communication skills to translate AI architecture decisions for non-technical business stakeholders
AI Architect Jobs in Florida: Frequently Asked Questions
How do you become a ai architect in Florida?
There is no state-issued license required to work as an ai architect in Florida, so the path runs through education and demonstrated technical expertise. Most Florida employers expect at least a bachelor's degree in computer science, data science, or a related field, with a master's degree preferred for senior roles. Practical experience building and deploying AI systems carries significant weight, and vendor certifications from AWS, Google Cloud, or Microsoft Azure are widely recognized by Florida hiring teams as strong supporting credentials.
How much do AI architects make in Florida?
AI architects in Florida earn a median of about $105,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $52,960 for the lowest 10% to over $173,260 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Florida?
Employers hiring ai architects in Florida right now include ADT, Mayo Clinic, and Boston Consulting, based on current listings on Migrate Mate as of September 2026. Florida's concentration of defense contractors, large regional banks, and healthcare systems means demand cuts across multiple industries rather than clustering in a single sector.
Which Florida cities have the most ai architect jobs?
Tampa, Miami, and Jacksonville are the Florida cities with the most ai architect openings. Miami leads due to its density of financial services firms and multinational technology companies, Tampa draws hiring from defense contractors and healthcare networks anchored there, and Orlando's mix of simulation technology firms, theme park operations, and a growing tech corridor keeps consistent demand for AI architecture talent.
Are there remote ai architect jobs in Florida?
Yes, and more than most fields. About 38% of ai architect openings tied to Florida are remote or hybrid as of September 2026, reflecting how design-heavy and platform-focused this role is. The portions of the work most likely to stay fully remote are architecture reviews, model design sessions, and cross-team technical consulting, while roles tied to government or defense contracts often require on-site presence for security reasons.
How can I get hired as a ai architect in Florida with little or no experience?
The most realistic entry path is through a machine learning engineer or data engineer role at a Florida employer, then building toward architecture responsibilities over time. Large Florida organizations such as AdventHealth, Florida Blue, and the defense contractors concentrated around Orlando and Tampa regularly hire ML engineers and data scientists at the associate level where hands-on AI system work is part of the job from day one. Building a portfolio of end-to-end projects and earning a cloud AI certification strengthens a candidate's case considerably for that first step into architecture.
Where can I find and apply to ai architect jobs in Florida?
You can find and apply to ai architect 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 24 AI Architect Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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