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Ai Platform Engineer Jobs in Florida (NOW HIRING)

BNY

AI Platform Production Engineer

Lake Mary, FL

AI Platform Production Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

Fifth Third

$88K - $115K/yr

The Lead AWS AI Platform Engineer is responsible for enabling and advancing enterprise AI and machine learning capabilities within a secure, governed, and scalable technology environment across the ...

BNY

AI Platform Production Engineer

Lake Mary, FL

AI Platform Production Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

Fortress

Senior Software Engineer, AI Platform

Orlando, FL · On-site

$140.54 - $223.21/hr

Senior Software Engineer, AI Platform Location: Orlando HQ - Remote, FL Job Id: 677 # of Openings: 2 Salary Range: $140,541 - $223,212 per year Employment Type: Full-time About the role: Fortress ...

DTCC

Platform Engineer

Tampa, FL · Hybrid

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

DTCC

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

DTCC

Platform Engineer

Tampa, FL · On-site

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

DTCC

Platform Engineer

Tampa, FL · On-site

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

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Ai Platform Engineer information

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$24

$47

$70

How much do ai platform engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai platform engineer in Florida is $47.79, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $55.14 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Florida? For Ai Platform Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Ai Platform Engineer jobs in Florida look for? The top searched job categories for Ai Platform Engineer jobs in Florida are:
What cities in Florida are hiring for Ai Platform Engineer jobs? Cities in Florida with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $99,409 per year, or $47.8 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 7 days ago

Job description

: MAX CONFIRMED to
Location: ONSITE- Raleigh, NC
Duration: 6 months
Role: AWS AI Platform Engineer
Descriptions:
"Key Responsibilities
AI Platform Integration
• Lead onboarding of business applications onto the enterprise AI platform
• Translate business and AI requirements into AWS infrastructure and platform capabilities
• Design reusable AI integration patterns and reference architectures
• Define enterprise standards for AI application integration
• Support multiple AI initiatives across business domains
RAG and Agentic AI Development
• Design and implement Retrieval-Augmented Generation (RAG) architectures
• Build AI agents and multi-agent workflows for enterprise use cases
• Design enterprise knowledge retrieval and semantic search solutions
• Develop reusable AI orchestration components and AI APIs
• Integrate enterprise data sources into AI knowledge bases
• Implement prompt engineering and context management strategies
AWS Cloud Platform Engineering
• Work with AWS Cloud Infrastructure teams to use AI to provision and configure AWS Cloud infrastructure
• Design cloud-native AI architectures using AWS managed services
• Support infrastructure automation and deployment pipelines
• Ensure high availability, scalability, and resilience of AI workloads
• Coordinate networking, IAM, security, storage, and compute requirements
Cross-Team Leadership
• Act as the primary technical liaison between:
o AWS Cloud Infrastructure teams
o AI Platform teams
o Security and IAM teams
o Networking teams
o Data Engineering teams
o Application Development teams
o Enterprise Architecture teams
• Lead technical workshops and architecture discussions
• Coordinate cross-functional delivery activities
• Mentor engineering teams adopting AI capabilities
AI Governance and Operational Excellence
• Ensure AI solutions comply with enterprise security and governance standards
• Design secure AI integration patterns
• Implement AI guardrails and Responsible AI controls
• Support AI evaluation, monitoring, and observability
• Drive AI platform best practices and reusable accelerators"
"AWS Cloud: VPC, IAM, EC2, ECS, EKS, Lambda, S3, API Gateway, CloudWatch, CloudFormation, EventBridge, SNS/SQS, Step Functions, KMS, Secrets Manager, Terraform, Elasticsearch, Cost Analysis, Budgeting
AWS AI Services: Amazon Bedrock, SageMaker AI, Amazon Knowledge Bases, Amazon OpenSearch, Amazon Titan, Bedrock Agents, Bedrock Guardrails, Textract, Comprehend, Transcribe, Rekognition, Neptune
AI Technologies: RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex, AI evaluation techniques, Hallucination Mitigation Techniques, AI governance, LLM Models (Anthropic)
Programming: Python, Java, REST APIs, SDK integration, Git, CI/CD, Claude Code
Data Skills: SQL, NoSQL, Document processing, Data chunking, Metadata management, Data ingestion pipelines
Leadership Skills: Executive communication, Cross-functional coordination, Technical leadership, Architecture governance, Stakeholder management
Preferred Qualifications
• Experience with enterprise AI platform implementation
• Experience in Banking or Financial Services
• Familiarity with Responsible AI and AI Governance frameworks
• Experience implementing secure AI solutions in regulated environments
• AWS Professional or Specialty Certifications
• Experience with DevSecOps and Platform Engineering practices "
Skills: Digital : Cloud DevOps, Project Code :

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