Skills & Competencies for AI Engineer V

AI Engineer V job profile

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JOB SUMMARY for AI Engineer V

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

JOB RESPONSIBILITIES for AI Engineer V

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 V SALARY RANGE

BASE 50%
$195,079
TOTAL 50%
$213,726
Job Level
P05
Job Code
IT10000586
Education/Degree
Bachelor's Degree
Reports To
Manager or Head of a Unit/Department

AI Engineer V 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 V 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 V

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)
Defines the concepts, components, and methodologies used in software engineering.
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Level 2 Behaviors
(Light Experience)
Follows established guidelines and standards when carrying out basic software maintenance tasks.
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Level 3 Behaviors
(Moderate Experience)
Operates complex quality assurance tools to test and evaluate software products before deployment.
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Level 4 Behaviors
(Extensive Experience)
Directs the implementation of testing procedures to improve the usability of software products.
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Level 5 Behaviors
(Mastery)
Designs and builds news software engineering tools to drive efficiency in operations.
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2 Industry Competency – Artificial Intelligence (AI)
Proficiency Level -5
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 V - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer V
Proficiency Level - 4
5 Competency for - AI Engineer V
Proficiency Level - 5

6 general skills or competencies (Job family competencies) for AI Engineer V

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 – Computer Vision
Proficiency Level -3
Skill definition-Designing and utilizing digital systems to process, analyze, and interpret visual data.
Level 1 Behaviors
(General Familiarity)
Cites examples of computer vision applications, including face recognition and image retrieval.
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Level 2 Behaviors
(Light Experience)
Applies knowledge of theories and models to support the development of computer vision systems.
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Level 3 Behaviors
(Moderate Experience)
Analyzes massive data sets using modern frameworks to develop computer vision models.
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Level 4 Behaviors
(Extensive Experience)
Collaborates across the company to guide the direction of computer vision processing.
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Level 5 Behaviors
(Mastery)
Builds a system that uses visual data to resolve complex business problems.
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3 AI Engineer V - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer V
Proficiency Level - 4
5 Competency for - AI Engineer V
Proficiency Level - 5

8 soft skills or competencies (core competencies) for AI Engineer V

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)
Explains our key business strategies and priorities.
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Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
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Level 3 Behaviors
(Moderate Experience)
Implements effective marketing strategies that achieve improved business outcomes.
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Level 4 Behaviors
(Extensive Experience)
Optimizes business processes based on deep insight into various business unit functions.
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Level 5 Behaviors
(Mastery)
Evaluates industry and market trends to identify new business opportunities.
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2 Core Competencies – Time Management
Proficiency Level -4
Skill definition-Managing and setting priorities, goals, and timetables to boost productivity and efficiency in completing tasks.
Level 1 Behaviors
(General Familiarity)
Explains the importance of time management in driving the overall productivity of our business.
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Level 2 Behaviors
(Light Experience)
Follows an updated calendar to list and complete tasks and assignments according to priority level.
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Level 3 Behaviors
(Moderate Experience)
Utilizes departmental tools and best practices to organize tasks effectively and productively.
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Level 4 Behaviors
(Extensive Experience)
Manages teams in streamlining work-related tasks to prioritize highest value tasks firsts.
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Level 5 Behaviors
(Mastery)
Leads transformational changes to work plans to drive the proper utilization of time and resources.
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3 AI Engineer V - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer V
Proficiency Level - 4
5 Competency for - AI Engineer V
Proficiency Level - 5

Summary of AI Engineer V skills and competencies

There are 8 hard skills for AI Engineer V, Software Engineering, Artificial Intelligence (AI), Cognitive Computing, etc.
6 general skills for AI Engineer V, Cloud Computing, Computer Vision, Deep Learning, etc.
8 soft skills for AI Engineer V, Innovation, Time Management, Problem Solving, 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 V, he or she needs to be skilled in Innovation, be skilled in Time Management, and be skilled in Problem Solving.

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