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Remote Ai Infrastructure Engineer Jobs in Spring Hill, FL

Data Engineer (BI)

Tampa, FL ยท Remote

$108K - $129K/yr

... infrastructure and the semantic models, dashboards, and reporting that sit on top of it. This role ... This is a remote position with occasional travel. Preference given to East Coast candidates. Key ...

QA Engineer

Tampa, FL ยท Remote

This is a remote position with preference given to East Coast candidates. Responsibilities ... Analyze and understand business, product, infrastructure, and technical requirements to ensure ...

... with Infrastructure and Cybersecurity teams to improve endpoint reliability, compliance, and ... Utilize Remote PowerShell for enterprise-scale endpoint administration and troubleshooting. Partner ...

New

Infrastructure & Orchestration: Kubernetes, ArgoCD, AWS * Monitoring: DataDog Requirements * 7+ ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

Infrastructure & Orchestration: Kubernetes, ArgoCD, AWS * Monitoring: DataDog Requirements * 7+ ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

Senior Editor, The CMO Club

Tampa, FL ยท Remote

$100K - $130K/yr

Build topical authority around engineering leadership, AI implementation, infrastructure, developer ... This full-time position is available as a remote role that offers an annual base salary in the ...

DevOps Engineer

Tampa, FL ยท Remote

$49.75 - $68.25/hr

Periodically review company's infrastructure and hosting cost to identify opportunities for cost ... This is a remote role, candidates must be located in the US * Candidates must be authorized to work ...

DevOps Engineer

Tampa, FL ยท Remote

$49.75 - $68.25/hr

Periodically review company's infrastructure and hosting cost to identify opportunities for cost ... This is a remote role, candidates must be located in the US * Candidates must be authorized to work ...

Senior Incident Management Practice Engineer

Tampa, FL ยท On-site +1

$108K - $148K/yr

A core component of the role is AI enablement by embedding AIOps, machine learning, and predictive ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Incident Management Practice Engineer

Tampa, FL ยท On-site +1

$108K - $148K/yr

A core component of the role is AI enablement by embedding AIOps, machine learning, and predictive ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Incident Management Practice Engineer

Tampa, FL ยท On-site +1

$108K - $148K/yr

A core component of the role is AI enablement by embedding AIOps, machine learning, and predictive ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior .NET Developer (Remote Opportunity)

Tampa, FL ยท On-site +1

$51.50 - $68/hr

NET Developer for a 100% remote position supporting a large federal government healthcare ... Experience with Azure cloud services and AI-assisted development tools is preferred to help improve ...

Senior .NET Developer (Remote Opportunity)

Tampa, FL ยท Remote

$51.50 - $68/hr

NET Developer for a 100% remote position supporting a large federal government healthcare ... Experience with Azure cloud services and AI-assisted development tools is preferred to help improve ...

AppSec Sales Engineer - East

Tampa, FL ยท Remote

$55.50 - $74.25/hr

Evangelize the benefits of the Harness AI-Native DevSecOps platform, highlighting its AppSec and ... Work Location * Remote role, strong preference for Tampa area What You Will Have At Harness

Showing results 41-60

Remote Ai Infrastructure Engineer information

See Spring Hill, FL salary details

$39.5K

$107.8K

$154.4K

How much do remote ai infrastructure engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote ai infrastructure engineer in Spring Hill, FL is $107,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $119,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.
What cities near Spring Hill, FL are hiring for Remote Ai Infrastructure Engineer jobs? Cities near Spring Hill, FL with the most Remote Ai Infrastructure Engineer job openings:
Infographic showing various Remote Ai Infrastructure Engineer job openings in Spring Hill, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $107,802 per year, or $51.8 per hour.

Data Engineer (BI)

Bridgeway Benefit Technologies

Tampa, FL โ€ข Remote

$108K - $129K/yr

Full-time

Posted 7 days ago


Job description

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse infrastructure and the semantic models, dashboards, and reporting that sit on top of it. This role involves working closely with analysts, engineers, and business stakeholders to shape our data architecture, build secure and efficient data pipelines and curated data models, and turn data into self-service analytics and insight across the organization. The ideal candidate will have a strong background in data engineering, dimensional and semantic data modeling, business intelligence tooling, and ELT processes, along with a passion for making data accessible and actionable.

This is a remote position with occasional travel. Preference given to East Coast candidates.

Key Responsibilities:

  • Design and maintain semantic data models, metrics layers, and certified datasets that provide a consistent, business-friendly source of truth for reporting and self-service analytics.
  • Define, standardize, and govern KPIs, calculation logic, and a shared metric glossary so that metrics are consistent and trusted across dashboards and self-service analytics.
  • Develop, maintain, and optimize dashboards and reports in Sigma (primary), with some Power BI and native Databricks dashboards/AI-BI Genie , and enable business users to explore data through governed self-service analytics.
  • Define and maintain Sigma workspace standards (workbook templates, certified datasets, RLS configuration, naming/governance conventions) in the development instance for promotion across tenant environments, in partnership with Platform Engineering, for tenant-level administration.
  • Collaborate with the Architecture team on data quality, testing, and observability; own triage and resolution of BI-layer/dashboard issues.
  • Drive BI adoption by training and supporting business users, monitoring dashboard usage, and identifying underused or redundant assets for redesign, training, or deprecation.
  • Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
  • Gather reporting and analytics requirements from business stakeholders, define success measures, and translate them into technical specifications and well-structured data products.
  • Enable analytics, reporting, and AI/ML use cases through well-structured, business-friendly data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving.
  • Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
  • Build and maintain production dashboards and workbooks in Sigma, ensuring reliability and performance for business users.
  • Implement row-level security and Entra ID-based access controls to govern and secure data access within the BI/data platform.
  • Collaborate and communicate proactively with engineering, analytics, and business stakeholders, influencing priorities and driving alignment across teams.

Requirements:

  • 3+ years of hands-on data engineering and/or business intelligence experience required.
  • Experience in Databricks, including DAB and Materialized Views.
  • 3+ years designing semantic/dimensional data models and building dashboards and reports in a modern BI platform including hands-on experience with a metrics or semantic layer required.
  • 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required.
  • Azure DevOps; GitHub CoPilot knowledge is a plus.
  • Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred.
  • Experience dealing with HIPAA compliant data sets is a plus.