数据与AI工程师
AI replacement rate
40%This role is currently tracked with 10 timeline items plus a profile-based replacement estimate.
This role is currently tracked with 10 timeline items plus a profile-based replacement estimate.
Replacement trend
Aggregated from periodic refresh snapshots- 2026-04-2040%
Why this role is rated this way
Structural baseAI models can automate the creation of boilerplate code for data ingestion, transformation, and machine learning operations, streamlining development and reducing repetitive coding tasks for data and AI engineers.
Specialized AI platforms and tools are increasingly capable of automating the lifecycle management of machine learning models and underlying infrastructure, handling tasks such as deployment, monitoring, and scaling with minimal human intervention.
Advanced AI capabilities are being applied to data quality checks, anomaly detection, and data transformation processes, enabling more efficient and accurate data preparation, which is a key responsibility for data engineers.
Despite AI advancements, the strategic design of scalable data and AI architectures, critical debugging of complex issues, performance optimization, and translating ambiguous business requirements into technical solutions still heavily rely on human analytical skills and creativity.
Timeline
Relevant news and cases, newest firstIn the context of generative artificial intelligence, AI agents (also referred to as compound AI systems or agentic AI) are a class of intelligent agents distinguished by their ability to operate autonomously in complex environments. Agentic AI tools prioritize decision-making over content ...
Open originalAn artificial intelligence (AI) agent is a software program that can interact with its environment, collect data, and use that data to perform self-directed tasks that meet predetermined goals. Humans set goals, but an AI agent independently chooses the best actions it needs to perform to achieve ...
Open originalAI agents are not just digital assistants or chatbots—they are AI systems that can act autonomously with minimal human intervention. These goal-based agents can plan actions, make informed decisions, use AI tools, and deliver outcomes across ...
Open originalAn artificial intelligence (AI) agent refers to a system or program that is capable of autonomously performing tasks on behalf of a user or another system.
Open originalAI agents are software systems that use AI to pursue goals and complete tasks on behalf of users. Learn more with Google Cloud.
Open originalAI agents are autonomous software tools that perform tasks, make decisions, and interact with their environment intelligently and rationally. They use artificial intelligence to learn, adapt, and take action based on real-time feedback and changing ...
Open originalThese AI-driven agentic workflows are built on large language models (LLMs) that enable them to interpret goals, evaluate context, and determine a course of action across dynamic, multi-step processes.
Open originalAgentic workflows are an AI-driven processed where the sequence of tasks are dynamically executed with minimal human intervention to achieve a particular goal.
Open originalAgentic workflows represent a fundamental shift, combining the power of large language models (LLMs) and AI-driven automation to tackle challenges traditional systems could only dream of solving.
Open originalIn contrast, agentic AI workflows introduce a higher level of autonomy and intelligence that lets AI agents make independent decisions based on real-time data and adapt to new information.
Open original