AI Infrastructure Job Market Trends

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Groq

40-80
Employers
+3300%
Growth

An AI-centric computing company known for designing and developing chips optimized for machine learning and artificial intelligence workloads. Their technology focuses on high-speed, low-latency processing to enhance AI performance.

Applied AI Engineer

175-350
Employers
+959%
Growth

Develops and implements AI solutions to solve real-world problems, focusing on practical applications and outcomes.

AI Infrastructure

1.5K-3K
Employers
+710%
Growth

Refers to the hardware and software systems that support the development, deployment, and operation of artificial intelligence applications.

AI Solutions Architect

300-600
Employers
+565%
Growth

Designs and oversees the implementation of AI solutions, ensuring they meet business requirements and technical standards.

Watsonx

60-120
Employers
+297%
Growth

IBM's enterprise ready AI and data platform designed to facilitate the deployment of AI models at scale, offering governance, compliance, and integrations with AI optimization features.

Machine Learning Infrastructure

1K-2K
Employers
+207%
Growth

The hardware and software systems that support the development, training, and deployment of machine learning models.

Triton (OpenAI)

8-16
Employers
+200%
Growth

An open-source deep learning compiler developed by OpenAI, designed to optimize the performance of machine learning models on GPUs.

Artificial Intelligence Architect

50-100
Employers
+102%
Growth

Develops and manages AI solutions and architecture, ensuring they align with organizational goals. Plays a key role in implementing AI-driven strategies to enhance efficiency and innovation.

Ultraclusters

7-14
Employers
+27%
Growth

Large-scale computing clusters used for high-performance computing and data processing.