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%
$156,658
TOTAL 50%
$168,689
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)
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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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)
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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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)
Cites examples of public cloud computing architectures and services.
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Level 2 Behaviors
(Light Experience)
Assists in developing automated solutions using cloud-based server-less computing platforms.
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Level 3 Behaviors
(Moderate Experience)
Analyzes various applications and platforms to automate and orchestrate cloud computing activities.
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Level 4 Behaviors
(Extensive Experience)
Consults on emerging cloud computing technologies to improve our operational efficiency.
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Level 5 Behaviors
(Mastery)
Builds security programs to elevate our security posture within a cloud computing infrastructure.
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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)
Identifies the procedures for making sure that results are mistake-free.
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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)
Designs systems to help the team organize and track details and project progress.
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Level 5 Behaviors
(Mastery)
Develops best practices for identifying and correcting errors, oversights, and omissions.
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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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