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Associate Ai Infrastructure Engineer Jobs in Florida

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 ...

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 ...

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 ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · Hybrid

$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 ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · Hybrid

$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 ...

Crowe LLP

AI Infrastructure Engineer

Fort Lauderdale, FL · On-site

$102K - $134K/yr

As an AI Infrastructure Engineer, you are a deep technical contributor with subsystem ownership and notable technical influence. Your role will be crucial in ensuring that the AI solutions you ...

Crowe LLP

AI Infrastructure Engineer

Miami, FL · On-site

$102K - $134K/yr

As an AI Infrastructure Engineer, you are a deep technical contributor with subsystem ownership and notable technical influence. Your role will be crucial in ensuring that the AI solutions you ...

Crowe LLP

AI Infrastructure Engineer

Tampa, FL · On-site

$101K - $133K/yr

As an AI Infrastructure Engineer, you are a deep technical contributor with subsystem ownership and notable technical influence. Your role will be crucial in ensuring that the AI solutions you ...

OneStream

Associate AI Engineer

Fort Lauderdale, FL · On-site

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental, 401K Gross Annual Base Salary : USD 87,000 - 116,000 ...

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All JobsAssociate Ai Infrastructure Engineer JobsAssociate Ai Infrastructure Engineer Jobs in Florida

Associate Ai Infrastructure Engineer information

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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What cities in Florida are hiring for Associate Ai Infrastructure Engineer jobs? Cities in Florida with the most Associate Ai Infrastructure Engineer job openings:
Associate Ai Infrastructure Engineer jobs near you

AI Infrastructure Engineer

BNY

Lake Mary, FL • On-site

$94K - $123K/yr

Full-time

Posted 10 days ago

Job description

Job Summary:
BNY is a leading global financial services company that influences nearly 20% of the world’s investible assets. 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 hands-on with enterprise-grade NVIDIA AI infrastructure, supporting GPU-based compute, high-performance storage, and network systems designed for ML/AI at scale.
• Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes, Docker, and GPU orchestration tools like Run:AI and NVIDIA BCM.
• Own the observability of our AI platforms—monitor health, identify performance bottlenecks, and make strategic recommendations to drive platform reliability and maturity.
• Automate infrastructure operations and provisioning using Python, Bash, and tools like Terraform or Ansible to reduce manual toil and accelerate experimentation.
• Maintain and scale AI training and inference pipelines, integrating infrastructure workflows into CI/CD systems to enable seamless, automated deployment of AI workloads.
Qualifications:
Required:
• Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred
• 8-10 years of related experience required; experience in the securities or financial services industry is a plus
• Experience with Linux administration (RHEL/Ubuntu), shell scripting, and system-level debugging
• Proven experience running distributed systems in Kubernetes and containerized environments using Docker
• Familiarity with GPU resource management, including NVIDIA GPU Operator and device plugin lifecycle
• Experience with CI/CD workflows and infrastructure automation tools such as GitLab CI, Jenkins, Terraform, Helm, or Ansible
• Knowledge of networking fundamentals and persistent storage systems
• Exposure to cloud platforms (AWS, GCP, Azure) and hybrid GPU environments
• Ability to read and support Python code focused on ML/AI pipeline integration
• Strong analytical and troubleshooting skills with a collaborative mindset
• Effective communication skills and proactive ownership of platform reliability and performance
Company:
BNY is a global financial services platforms company at the heart of the world’s capital markets. Founded in 1989, the company is headquartered in Wellesley, USA, with a team of 10001+ employees. The company is currently Late Stage.

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