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Associate Ai Infrastructure Engineer Jobs in Tennessee

Heaven-Hill

AI Infrastructure Analyst

Louisville, TN · On-site

$75 - $105/hr

This role works closely with Infrastructure Engineering to maintain a secure, stable, and supportable AI platform environment. The Analyst independently manages routine platform work and contributes ...

Accenture

AI & HPC Infrastructure Engineer

Morristown, TN · On-site

$93K - $122K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the ... If Associate's Degree, must have minimum 6 years work experience. Preferred Skills and ...

Accenture

AI & HPC Infrastructure Engineer

Nashville, TN · On-site

$103K - $136K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the ... If Associate's Degree, must have minimum 6 years work experience. Preferred Skills and ...

Oracle

Senior Core Infrastructure Engineer

Nashville, TN · On-site

$104K - $142K/yr

The OCI Infrastructure Delivery Engineering team is building services and tools to accelerate the ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Oracle

Senior Core Infrastructure Engineer

Nashville, TN · On-site

$104K - $142K/yr

The OCI Infrastructure Delivery Engineering team is building services and tools to accelerate the ... And with AI embedded across our products and services, we help customers turn that promise into a ...

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All JobsAssociate Ai Infrastructure Engineer JobsAssociate Ai Infrastructure Engineer Jobs in Tennessee

Associate Ai Infrastructure Engineer information

What is the difference between Associate Ai Infrastructure Engineer vs Data Engineer?

AspectAssociate Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, Engineering, or related field; familiarity with cloud platformsBachelor's in CS, Data Science, or related; strong programming skills
Work EnvironmentAI/ML teams, cloud environments, infrastructure setupData pipelines, database management, data processing systems
Employer & Industry UsageTech companies, AI startups, cloud service providersTech firms, finance, healthcare, data-driven industries

Associate Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate, but their core responsibilities differ in infrastructure versus data processing.

How much do associate AI infrastructure engineers make?

Associate AI infrastructure engineers typically earn between $70,000 and $100,000 annually, depending on experience, location, and company size. Entry-level roles may start lower, while those with specialized skills in cloud platforms, machine learning tools, or certifications can earn higher salaries.

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

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

What are popular job titles related to Associate Ai Infrastructure Engineer jobs in Tennessee?

For Associate Ai Infrastructure Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Associate Ai Infrastructure Engineer jobs in Tennessee look for?

The top searched job categories for Associate Ai Infrastructure Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Associate Ai Infrastructure Engineer jobs?

Cities in Tennessee with the most Associate Ai Infrastructure Engineer job openings:

Associate Ai Infrastructure Engineer jobs near you
Infographic showing various Associate Ai Infrastructure Engineer job openings in Tennessee as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution.

AI Infrastructure Analyst

Louisville, TN • On-site

Heaven-Hill
See more jobs at Heaven-Hillexternal

$75 - $105/hr

Other

Posted 7 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

AI Infrastructure Analyst

G&A Analyst Louisville, KY, US

This is an office based position in Louisville, KY.

What the Role Is

The AI Infrastructure Analyst is responsible for the day-to-day administration, support, monitoring, and operational reliability of AI platform services and supporting Azure resources. This role works closely with Infrastructure Engineering to maintain a secure, stable, and supportable AI platform environment. The Analyst independently manages routine platform work and contributes to non-routine troubleshooting, deployment support, documentation, and user enablement. This role focuses on AI platform operations and support, not data science or model development.

The focus of this role is on AI platform operations, Azure administration, monitoring, and supportability.

How You Will Spend Your Time? Position Responsibilities include, but not limited to: Standard Responsibilities:
  • Support the day-to-day operation of AI platform services and related Azure resources, including access controls, service identities, secrets, registries, workspaces, and supporting compute or container services as applicable.
  • Monitor dashboards, alerts, logs, traces, and service health for AI workloads and respond to incidents in accordance with runbooks, support procedures, and escalation paths.
  • Execute operational tasks such as onboarding support, access changes, configuration updates, endpoint checks, deployment validation, certificate or secret rotations, and documentation maintenance.
  • Partner with Infrastructure Engineering on shared dependencies involving networking, identity, security controls, certificates, backup and recovery, and platform availability.
  • Maintain documentation, runbooks, operating checklists, knowledge articles, and change records that support consistent AI platform operations.
  • Contribute to scripting, automation, and process improvements that reduce manual effort and improve service reliability.
  • Support platform users, project teams, and vendors by providing operational assistance, issue triage, and escalation when needed.
  • Participate in after-hours maintenance activities and incident response as assigned.
Level-Specific Responsibilities:
  • Administer and support AI platform services and supporting Azure resources used for AI-related workloads.
  • Monitor platform health, service availability, alerts, logs, traces, and performance metrics; investigate and resolve routine issues and elevate more complex issues when needed.
  • Provision, maintain, and document Azure resources related to AI platform support, including resource groups, service identities, key management, registries, storage, and supporting services as applicable.
  • Support platform deployments, configuration changes, release validation, and rollback activities using established change management practices.
  • Troubleshoot platform, access, connectivity, and service issues across AI-related infrastructure and supporting components.
  • Maintain and improve operational documentation, runbooks, standard procedures, and support knowledge for AI platform services.
  • Support identity, access, and governance processes for AI platform users, service accounts, and application integrations.
  • Build and maintain basic automation, scripting, and operational tooling to improve repeatability, visibility, and support efficiency.
  • Partner with Infrastructure Engineering on shared dependencies involving networking, security, identity, certificates, storage, and enterprise platform services.
  • Support onboarding of new AI platform capabilities by helping validate operational readiness, monitoring coverage, and support processes.
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