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Associate Ai Infrastructure Engineer Jobs (NOW HIRING)

Mango Analytics

AI Infrastructure Engineer

Fort Mill, SC · On-site

$94K - $123K/yr

We are seeking a proactive and innovative AI Infrastructure Engineer to work directly with our LPL infrastructure teams. The ideal candidate will identify opportunities for automation, build AI ...

New

Together AI

AI Infrastructure Engineer

San Francisco, CA

$190K - $270K/yr

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software ...

ScrumLink, Inc.

AI Infrastructure Engineer

Fort Mill, SC · On-site

$94K - $123K/yr

AI Infrastructure Engineer (Forward Deployed AI Engineer) Location: Fort Mill, SC Duration : 12+ Months Total positions : 8 Roles Responsibilities: * Embed within infrastructure teams to understand ...

New

Together AI

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As an AI Infrastructure Engineer, you will be responsible for maintaining user-facing services and production systems, implementing best practices for availability and scalability, and building ...

OVA.Work

AI Infrastructure Engineer

$110K - $144K/yr

Work is seeking an AI Infrastructure Engineer to design, implement, and manage the infrastructure that powers AI and machine learning workloads. The role involves building scalable and secure ...

Together AI

AI Infrastructure Engineer

San Francisco, CA · On-site

$190K - $270K/yr

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software ...

Wipro Limited

AI Infrastructure Engineer

San Jose, IL · On-site

$45K - $121K/yr

AI Infrastructure Engineer City: San Jose State/Province: California Posting Start Date: 7/9/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

New

Seekr

Staff AI Infrastructure Engineer

Austin, TX

$106K - $139K/yr

As a Staff AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

They are seeking an AI Infrastructure Engineer to support enterprise-grade NVIDIA AI infrastructure, automate operations, and maintain AI training and inference pipelines. Responsibilities : • Be ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

They are seeking an AI Infrastructure Engineer to support enterprise-grade NVIDIA AI infrastructure, automate operations, and maintain AI training and inference pipelines. Responsibilities : • Be ...

Seekr

Staff AI Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/yr

As a Staff AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI ...

Analogdevices

Senior AI Infrastructure Engineer

Wilmington, MA · Hybrid

$118K - $161K/yr

Senior AI Infrastructure Engineer, Developer Experience Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the ...

MeshyAI

AI Infrastructure Engineer

Sunnyvale, CA · On-site

$125K - $164K/yr

The AI Infrastructure Engineer role involves ensuring the reliability and scalability of the AI model serving stack, while developing core engineering infrastructure to connect models to product ...

Seekr

Senior AI Infrastructure Engineer

Austin, TX

$107K - $146K/yr

As a Senior AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments ...

BNY Mellon

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

AI Infrastructure 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 global ...

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All JobsAssociate Ai Infrastructure Engineer Jobs

Associate Ai Infrastructure Engineer information

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$41.5K

$82.6K

$132K

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

As of Jul 17, 2026, the average yearly pay for associate ai infrastructure engineer in the United States is $82,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $95,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior AI infrastructure engineers or machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-demand industries or companies. These roles often require expertise in cloud platforms, distributed systems, and deep learning frameworks, along with leadership responsibilities and a strong track record of impactful projects.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning tools can command higher salaries.

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI engineers, research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data infrastructure. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or specialized AI firms.

What does an associate AI engineer do?

An associate AI engineer supports the development and deployment of artificial intelligence models and systems. They assist with data preprocessing, model training, testing, and optimization, often using tools like Python, TensorFlow, or PyTorch. This entry-level role typically requires foundational knowledge of machine learning concepts and programming skills.
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Associate Ai Infrastructure Engineer jobs near you
Infographic showing various Associate Ai Infrastructure Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $82,636 per year, or $39.7 per hour.

AI Infrastructure Engineer

Mango Analytics

Fort Mill, SC • On-site

$94K - $123K/yr

Other

Posted 4 days ago

New

Job description

Job Summary: We are seeking a proactive and innovative AI Infrastructure Engineer to work directly with our LPL infrastructure teams. The ideal candidate will identify opportunities for automation, build AI-powered solutions, and enhance engineering productivity. This role requires a strong foundation in Python development, infrastructure engineering, and a deep understanding of GitHub tools.

 

Responsibilities:

  • Embed within infrastructure teams to understand workflows and identify automation opportunities.
  • Independently identify and implement automation solutions.
  • Build AI-assisted solutions utilizing Cursor and GitHub Copilot.
  • Develop infrastructure automation processes to streamline operations.
  • Create AI workflows and AI agents to enhance productivity.
  • Modernize existing infrastructure platforms for improved performance.
  • Enhance cloud migration efficiency through innovative solutions.
  • Automate vulnerability remediation processes.
  • Mentor existing engineering teams on best practices and AI adoption.
  • Promote AI adoption across the organization to drive efficiency.
  • Deliver measurable productivity improvements through automation.
  • Rapidly demonstrate proof-of-concepts to stakeholders.
  • Collaborate closely with business and infrastructure leaders to align on goals.

 

Mandatory Skills:

  • Strong proficiency in Python development.
  • Experience in infrastructure engineering.
  • Familiarity with cloud platforms, preferably AWS.
  • Expertise in Infrastructure as Code (IaC).
  • Proficient in GitHub Copilot and Cursor AI.
  • Knowledge of prompt engineering and LLM-based software development.
  • Experience with AI-assisted coding practices.
  • Strong understanding of DevOps principles and automation.
  • Proficient in APIs and scripting.
  • Excellent problem-solving skills and a self-starter mindset.
  • Strong communication skills to convey complex ideas effectively.

 

Qualifications:

  • 3-5 years of relevant experience in AI infrastructure engineering.
  • Proven track record of delivering automation solutions that reduce manual effort.
  • Demonstrated ability to influence and mentor engineering teams.
  • Strong collaborative skills and ability to work in ambiguous environments.
  • Outcome-focused with a commitment to driving measurable improvements.

 

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