AI Infrastructure Job Market Trends

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Groq

15-30
Employers
+933%
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

80-160
Employers
+302%
Growth

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

AI Infrastructure

600-1.2K
Employers
+202%
Growth

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

AI Solutions Architect

120-240
Employers
+136%
Growth

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

Watsonx

30-60
Employers
+81%
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.

Triton (OpenAI)

7-14
Employers
+80%
Growth

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

Machine Learning Infrastructure

500-1K
Employers
+51%
Growth

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

Ultraclusters

6-12
Employers
+9%
Growth

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

Artificial Intelligence Architect

25-50
Employers
+8%
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.