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Flex Ai Infrastructure Engineer Jobs in Florida (NOW HIRING)

Rumble

Senior Infrastructure Engineer - DNS

Miami, FL · On-site

$132K - $158K/yr

RUM Group Inc. is an AI infrastructure and video company. Its Quake AI business delivers AI compute as a service, operating AI data centers including GPU and CPU compute, storage, and networking at ...

Rumble

Senior Infrastructure Engineer - DNS

Sarasota, FL · On-site

$132K - $158K/yr

RUM Group Inc. is an AI infrastructure and video company. Its Quake AI business delivers AI compute as a service, operating AI data centers including GPU and CPU compute, storage, and networking at ...

Rumble

Senior Infrastructure Engineer - CDN

Sarasota, FL · On-site

$132K - $158K/yr

RUM Group Inc. is an AI infrastructure and video company. Its Quake AI business delivers AI compute as a service, operating AI data centers including GPU and CPU compute, storage, and networking at ...

Rumble

Senior Infrastructure Engineer - CDN

Miami, FL · On-site

$132K - $158K/yr

RUM Group Inc. is an AI infrastructure and video company. Its Quake AI business delivers AI compute as a service, operating AI data centers including GPU and CPU compute, storage, and networking at ...

Rumble

Senior Infrastructure Engineer - DDOS

Miami, FL · Remote

$132K - $158K/yr

RUM Group Inc. is an AI infrastructure and video company. Its Quake AI business delivers AI compute as a service, operating AI data centers including GPU and CPU compute, storage, and networking at ...

Rumble

Senior Infrastructure Engineer - DDOS

Sarasota, FL · Remote

$132K - $158K/yr

RUM Group Inc. is an AI infrastructure and video company. Its Quake AI business delivers AI compute as a service, operating AI data centers including GPU and CPU compute, storage, and networking at ...

YO AI Labs

Infrastructure Expert - Remote

Miami, FL · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Socket.dev

Senior Infrastructure Engineer

Miami, FL · On-site

$140 - $190/hr

About Iru Iru is the AI-powered security & IT platform used by the world's fastest-growing ... The Opportunity As a Senior Infrastructure Engineer at Iru, you will be instrumental in ...

Deloitte

Azure/Databricks Infrastructure Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Deloitte

Azure/Databricks Infrastructure Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Iru

Senior Infrastructure Engineer

Miami, FL · On-site

$140 - $200/hr

About Iru Iru is the AI-powered security & IT platform used by the world's fastest-growing ... The Opportunity As a Senior Infrastructure Engineer at Iru, you will be instrumental in ...

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All JobsAi Infrastructure Engineer JobsFlex Ai Infrastructure Engineer JobsFlex Ai Infrastructure Engineer Jobs in Florida

Flex Ai Infrastructure Engineer information

What is the difference between Flex Ai Infrastructure Engineer vs Data Center Technician?

AspectFlex Ai Infrastructure EngineerData Center Technician
Required CredentialsBachelor's in Computer Science or related field, certifications like Cisco CCNA or CompTIA Network+High school diploma or equivalent, technical certifications preferred
Work EnvironmentDesigning, deploying, and maintaining AI infrastructure in data centers or cloud environmentsMaintaining and troubleshooting physical data center hardware and network equipment
Industry UsageUsed in AI-focused companies, cloud providers, and tech firmsCommon in data centers, telecom, and enterprise IT facilities
Common Search/ComparisonOften compared for infrastructure roles supporting AI systemsCompared for hardware and network support roles in data centers

The Flex Ai Infrastructure Engineer focuses on designing and maintaining AI infrastructure, often involving cloud and data center environments, while the Data Center Technician handles physical hardware and network troubleshooting within data centers. Both roles require technical skills but differ in scope and responsibilities.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Florida?

The most popular types of Ai Infrastructure Engineer jobs in Florida are:

What cities in Florida are hiring for Flex Ai Infrastructure Engineer jobs?

Cities in Florida with the most Flex Ai Infrastructure Engineer job openings:

Flex Ai Infrastructure Engineer jobs near you

AI Infrastructure & Platform Engineer

International Materials, Inc.

Delray Beach, FL • On-site

$100K - $132K/yr

Full-time

Posted 15 days ago

Job description

IMI is seeking an AI Infrastructure & Platform Engineer to help build and expand our internal AI capabilities.
This is a hands-on opportunity to work across AI, software development, cloud infrastructure, and systems integration as we develop a scalable and secure foundation for AI across the organization.
Working alongside internal teams and external technology partners, this individual will help design and build our internal AI platform, develop AI-powered workflows and integrations, and bring more AI capabilities in-house over time. The role will also help evaluate when to build solutions internally, when to leverage third-party technologies, and how to securely and reliably bring those solutions into production.
The ideal candidate combines a strong software and cloud infrastructure foundation with hands-on experience with large language models (LLMs), generative AI, and modern AI application architectures. This person will also serve as an internal advocate for AI adoption, helping technical and non-technical users understand and effectively utilize new AI-powered tools.
Requirements
  • 5+ years of professional experience in software development, cloud infrastructure, platform engineering, MLOps, DevOps, or a related technical field.
  • Strong software development fundamentals with experience building, deploying, and supporting production applications or services.
  • Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
  • Experience with modern software deployment practices, including CI/CD and development, staging, and production environments.
  • Experience developing and maintaining APIs and integrations between applications, cloud platforms, data sources, and third-party services.
  • Hands-on familiarity with modern AI technologies, LLMs, generative AI, and production AI/ML systems.
  • Understanding of application, infrastructure, and data security best practices.
  • Strong written and verbal English communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Resourceful, collaborative, and comfortable working independently in an evolving technical environment.
  • Ability to champion new technologies and work effectively across the organization to support AI adoption.

Preferred Qualifications
  • Experience with AI agents, RAG, vector databases, AI orchestration frameworks, or LLM-powered workflows.
  • Experience with cloud-native and infrastructure technologies such as Docker, Kubernetes, Terraform, or similar tools.
  • Familiarity with Model Context Protocol (MCP) or similar AI integration standards.
  • Experience with technologies such as Anthropic Claude, OpenAI, Google Gemini, Hugging Face, LangChain, LangGraph, or comparable AI platforms and frameworks.
  • Experience customizing, fine-tuning, or deploying private or domain-specific language models.
  • Experience working with sensitive financial, trading, or other regulated data.
  • Familiarity with SOC 2 or similar security, compliance, and data governance frameworks.
  • Full-stack development experience is a plus.
  • Relevant cloud or AI certifications are a plus.
  • 5+ years of professional experience in software development, cloud infrastructure, platform engineering, MLOps, DevOps, or a related technical field.
  • Strong software development fundamentals with experience building, deploying, and supporting production applications or services.
  • Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
  • Experience with modern software deployment practices, including CI/CD and development, staging, and production environments.
  • Experience developing and maintaining APIs and integrations between applications, cloud platforms, data sources, and third-party services.
  • Hands-on familiarity with modern AI technologies, LLMs, generative AI, and production AI/ML systems.
  • Understanding of application, infrastructure, and data security best practices.
  • Strong written and verbal English communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Resourceful, collaborative, and comfortable working independently in an evolving technical environment.
  • Ability to champion new technologies and work effectively across the organization to support AI adoption.

Apply