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)
Cites examples of testing techniques used to ensure the efficiency and reliability of software products.
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Level 2 Behaviors
(Light Experience)
Assists in performing software testing to identify code errors, bugs, and inconsistencies.
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Level 3 Behaviors
(Moderate Experience)
Implements new and updated software engineering processes that adhere to regulatory standards.
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Level 4 Behaviors
(Extensive Experience)
Develops software verification plans to ensure intuitive and robust product features.
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Level 5 Behaviors
(Mastery)
Conceptualizes new software testing methods to deliver high-quality products that meet organizational objectives.
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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)
Cites the different types of AI and its real-world applications in various sectors.
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Level 2 Behaviors
(Light Experience)
Assists in identifying suitable algorithms and tools for machine learning tasks.
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Level 3 Behaviors
(Moderate Experience)
Communicates with C-suite and business leaders on AI technology, strategy, and policy issues.
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Level 4 Behaviors
(Extensive Experience)
Designs machine learning systems and self-running AI software solutions to automate predictive models.
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Level 5 Behaviors
(Mastery)
Builds analytical and technical guidelines for team members and key stakeholders using AI tools.
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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)
Describes the difference between public cloud technology and traditional computing.
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Level 2 Behaviors
(Light Experience)
Assists with transitioning cloud computing databases and software as a service technology.
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Level 3 Behaviors
(Moderate Experience)
Implements innovative solutions to resolve emerging cloud computing problems.
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Level 4 Behaviors
(Extensive Experience)
Evaluates cloud computing architectures to drive cost reduction in managing IT systems.
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Level 5 Behaviors
(Mastery)
Conceptualizes new IT cloud computing products and service offerings to drive business continuity.
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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)
Documents the processes for developing deep learning neural network language models.
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Level 2 Behaviors
(Light Experience)
Conducts research to identify cutting-edge techniques and tools in deep learning.
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Level 3 Behaviors
(Moderate Experience)
Deploys accurate deep learning models to support computer vision tasks.
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Level 4 Behaviors
(Extensive Experience)
Develops prototype using deep learning algorithms focusing on the perception modules and object detection.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced tools in developing language models to solve complex deep learning problems.
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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)
Describes the market conditions that impact the business.
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Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
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Level 3 Behaviors
(Moderate Experience)
Communicates financial insights that positively influence the business plan development process.
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Level 4 Behaviors
(Extensive Experience)
Evaluates and explains the financial aspects of a business initiative to different teams.
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Level 5 Behaviors
(Mastery)
Champions organizational change and digital transformation to drive higher business performance.
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Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Explains why attention to detail plays an important role in own function or unit.
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Level 2 Behaviors
(Light Experience)
Processes limited amounts of detailed information with reasonable accuracy.
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Level 3 Behaviors
(Moderate Experience)
Processes large quantities of detailed information with high levels of accuracy.
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Level 4 Behaviors
(Extensive Experience)
Demonstrates expertise in quality assurance tools, techniques, and standards.
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Level 5 Behaviors
(Mastery)
Designs techniques for measuring the cost and impact of errors.
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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.