AI Infrastructure Job Market Trends

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Groq

10-20
Employers
+667%
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

40-80
Employers
+98%
Growth

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

Triton (OpenAI)

5-10
Employers
+40%
Growth

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

AI Infrastructure

250-500
Employers
+34%
Growth

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

Watsonx

20-40
Employers
+16%
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.

Ultraclusters

4-8
Employers
0%
Growth

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

Machine Learning Infrastructure

300-600
Employers
-11%
Growth

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

AI Solutions Architect

30-60
Employers
-19%
Growth

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

Artificial Intelligence Architect

12-24
Employers
-23%
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.