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Contract Ai Infrastructure Engineer Jobs in Florida

AI & HPC Infrastructure Engineer

Tampa, FL · On-site

$101K - $133K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

AI & HPC Infrastructure Engineer

Miami, FL · On-site

$102K - $134K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

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 ...

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 ...

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 ...

New

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 ...

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 ...

Sr. Infrastructure Engineer

Pembroke Pines, FL · Hybrid

$99K - $134K/yr

W2 ONLY. 6-month contract. Hybrid in Pembroke Pines 2-3 days per week. This person will be working ... The Senior Infrastructure Engineer is responsible for designing, developing, and integrating ...

Senior Infrastructure Engineer

Miami, FL

$103K - $141K/yr

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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Contract Ai Infrastructure Engineer information

What is the difference between Contract Ai Infrastructure Engineer vs Contract Cloud Infrastructure Engineer?

AspectContract Ai Infrastructure EngineerContract Cloud Infrastructure Engineer
Required CredentialsRelevant certifications in AI, cloud platforms, and infrastructureCertifications in cloud platforms, networking, and systems administration
Work EnvironmentAI development labs, data centers, cloud environmentsCloud service providers, enterprise data centers, remote cloud setups
Employer & Industry UsageTech companies, AI startups, research institutionsIT firms, cloud service providers, large enterprises
Common Search & Comparison IntentUnderstanding roles in AI infrastructure projectsComparing cloud infrastructure roles and responsibilities

The Contract Ai Infrastructure Engineer focuses on building and maintaining AI-specific infrastructure, including GPU clusters and AI frameworks, often within AI-focused companies. In contrast, the Contract Cloud Infrastructure Engineer specializes in managing cloud environments, networks, and systems for various enterprise needs. Both roles require cloud and infrastructure knowledge but differ in their focus areas and industry applications.

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 are popular job titles related to Contract Ai Infrastructure Engineer jobs in Florida?

For Contract Ai Infrastructure Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Contract Ai Infrastructure Engineer jobs in Florida look for?

The top searched job categories for Contract Ai Infrastructure Engineer jobs in Florida are:

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

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

AI Infrastructure & Platform Engineer

International Materials Inc

Delray Beach, FL • On-site

$100K - $132K/yr

Full-time

Posted 12 hours ago

Posted today


Job description

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.