8 hard skills or competencies (industry competencies) for AI Engineer IV
Skill definition-Applying computer science and engineering principles, methods, and practices to design, develop, deploy, and maintain reliable software systems.
Level 1 Behaviors
(General Familiarity)
Explains the step-by-step procedures for developing new and enhanced software products.
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Level 2 Behaviors
(Light Experience)
Uses specific programming languages and platforms to write code and create software programs.
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Level 3 Behaviors
(Moderate Experience)
Works collaboratively with development teams to correct complex errors in software codes.
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Level 4 Behaviors
(Extensive Experience)
Trains teams on developing highly responsive user interfaces (UI) to enhance customer experience.
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Level 5 Behaviors
(Mastery)
Keeps abreast of the latest industry coding best practices to maximize application readability and performance.
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Skill definition-Applying the technologies and methodologies of artificial intelligence(AI) to develop and implement AI products and services for various business goals.
Level 1 Behaviors
(General Familiarity)
Lists the key AI components, such as machine learning and natural language processing.
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Level 2 Behaviors
(Light Experience)
Supports the development of sophisticated models using structured and unstructured data sets for analysis.
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Level 3 Behaviors
(Moderate Experience)
Uses advanced programming languages and software packages to design algorithms and deploy AI models.
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Level 4 Behaviors
(Extensive Experience)
Trains new how to recognize immediate issues regarding artificial intelligence.
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Level 5 Behaviors
(Mastery)
Leads the program planning, development, and execution of cutting-edge AI software products and models.
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5 general skills or competencies (Job family competencies) for AI Engineer IV
Skill definition-Providing on-demand computing services that allow users to store, manage, and process their data remotely.
Level 1 Behaviors
(General Familiarity)
Lists all adoption strategies and transition challenges in cloud computing.
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Level 2 Behaviors
(Light Experience)
Tracks the performance and accessibility of applications across cloud computing environments.
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Level 3 Behaviors
(Moderate Experience)
Works with various teams to define strategies and implement features for secure cloud operations.
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Level 4 Behaviors
(Extensive Experience)
Recommends tactical initiatives to identify emerging threats to cloud computing environments.
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Level 5 Behaviors
(Mastery)
Establishes strategic network initiatives to ensure the continuous advancement of cloud services.
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Skill definition-Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
Level 1 Behaviors
(General Familiarity)
Lists down the various type of algorithms used in deep learning.
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Level 2 Behaviors
(Light Experience)
Supports the data flows that enable the development and testing of deep learning algorithms.
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Level 3 Behaviors
(Moderate Experience)
Works with various professionals to scale and automate existing statistical and deep learning models for production workflows.
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Level 4 Behaviors
(Extensive Experience)
Recommends deep learning approaches to solve complex business problems.
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Level 5 Behaviors
(Mastery)
Leads the design and deployment of highly scalable solutions using state-of-the-art deep learning techniques.
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9 soft skills or competencies (core competencies) for AI Engineer IV
Skill definition-The ability and process of implementing new ideas and initiatives to improve organizational performance.
Level 1 Behaviors
(General Familiarity)
Names our key stakeholders from a business value chain perspective.
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Level 2 Behaviors
(Light Experience)
Supports the planning, implementation, and management of training programs that foster process improvements.
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Level 3 Behaviors
(Moderate Experience)
Participates in the redesign of organizational structures to reflect business priorities.
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Level 4 Behaviors
(Extensive Experience)
Trains others on various business and operation topics.
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Level 5 Behaviors
(Mastery)
Forecasts the short-term and long-term impact of various business cases on P&L performance.
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Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Lists the traits of an employee showing great attention to detail.
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Level 2 Behaviors
(Light Experience)
Utilizes specific approaches and tools for checking and cross-checking outputs.
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Level 3 Behaviors
(Moderate Experience)
Uses tools to organize and monitor work progress.
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Level 4 Behaviors
(Extensive Experience)
Manages training to improve staffs' concentration and attention to detail.
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Level 5 Behaviors
(Mastery)
Learns from previous works' strengths and weaknesses to guide new projects.
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Summary of AI Engineer IV skills and competencies
There are 8 hard skills for AI Engineer IV, Software Engineering, Artificial Intelligence (AI), Cognitive Computing, etc.
5 general skills for AI Engineer IV, Cloud Computing, Deep Learning, Machine Learning, etc.
9 soft skills for AI Engineer IV, Innovation, Attention to Detail, Time Management, etc.
While the list totals 22 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a AI Engineer IV, he or she needs to be skilled in Innovation, be skilled in Attention to Detail, and be skilled in Time Management.