Skills & Competencies for AI Engineer IV

AI Engineer IV job profile

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JOB SUMMARY for AI Engineer IV

Designs and develops scalable solutions using AI tools and machine-learning models.

JOB RESPONSIBILITIES for AI Engineer IV

Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn.

AI Engineer IV SALARY RANGE

BASE 50%
$176,736
TOTAL 50%
$188,640
Job Level
P04
Job Code
IT10000585
Education/Degree
Bachelor's Degree
Reports To
Manager or Head of a Unit/Department

AI Engineer IV Skills and Competencies List

Proficiency Levels and Behavioural Indicators
Salary.com identifies five increasing levels of proficiency for each skill/competency. Some jobs require only a relatively low level of proficiency in each skill/competency, while other jobs will require a more advanced level of proficiency in the same skill/competency. These levels rate the degree of proficiency (skill level, expertise) we expect the incumbent to perform in the given skill/competency for the given job. Note that we intentionally do not associate timeframes or years of experience in performing the skill/competency because that can be misleading. Proficiency levels identify what the incumbent knows and can do rather than how long they have been doing it. Also, note that the proficiency levels are cumulative, e.g., a level 4 proficiency implies the ability to perform all the behaviors at the lower levels.
Check each AI Engineer IV skill and competencie below to view definitions.
INDUSTRY COMPETENCIES JOB FAMILY COMPETENCIES CORE COMPETENCIES
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8 hard skills or competencies (industry competencies) for AI Engineer IV

1 Industry Competency – Software Engineering
Proficiency Level -4
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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2 Industry Competency – Artificial Intelligence (AI)
Proficiency Level -4
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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3 AI Engineer IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer IV
Proficiency Level - 4
5 Competency for - AI Engineer IV
Proficiency Level - 5

5 general skills or competencies (Job family competencies) for AI Engineer IV

1 Job Family Competencies – Cloud Computing
Proficiency Level -3
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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2 Job Family Competencies – Deep Learning
Proficiency Level -4
Skill definition-Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
Level 1 Behaviors
(General Familiarity)
Cites examples of state-of-the-art methodologies and software libraries in the field of deep learning.
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Level 2 Behaviors
(Light Experience)
Assists in implementing and optimizing new vision algorithms for deep learning.
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Level 3 Behaviors
(Moderate Experience)
Analyzes relevant information from large amounts of data to automate and optimize deep learning processes.
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Level 4 Behaviors
(Extensive Experience)
Collaborates with the team to communicate deep learning concepts, technologies, and solutions to prospective clients.
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Level 5 Behaviors
(Mastery)
Builds scalable and usable deep learning tools to improve system performance and mobility safety.
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3 AI Engineer IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer IV
Proficiency Level - 4
5 Competency for - AI Engineer IV
Proficiency Level - 5

9 soft skills or competencies (core competencies) for AI Engineer IV

1 Core Competencies – Innovation
Proficiency Level -4
Skill definition-The ability and process of implementing new ideas and initiatives to improve organizational performance.
Level 1 Behaviors
(General Familiarity)
Describes how our business makes money and our key business objectives.
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Level 2 Behaviors
(Light Experience)
Assists in designing business models and operating plans.
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Level 3 Behaviors
(Moderate Experience)
Analyses the business impact of demographic changes; suggests effective responses.
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Level 4 Behaviors
(Extensive Experience)
Consults on the selection and adjustment of the go-to-market strategy.
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Level 5 Behaviors
(Mastery)
Builds a conceptual model to ensure a continuous increase of business sense within our business.
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2 Core Competencies – Attention to Detail
Proficiency Level -4
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Cites steps and tips to improve attention to detail in the workplace.
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Level 2 Behaviors
(Light Experience)
Keeps full attention when listening to understand the message.
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Level 3 Behaviors
(Moderate Experience)
Balances between accuracy and efficiency for different tasks or programs.
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Level 4 Behaviors
(Extensive Experience)
Creates and implements quality management processes for our business.
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Level 5 Behaviors
(Mastery)
Defines possible hurdles to projects and creates strategies to deal with them.
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3 AI Engineer IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer IV
Proficiency Level - 4
5 Competency for - AI Engineer IV
Proficiency Level - 5

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.

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