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%
$209,048
TOTAL 50%
$225,332
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)
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 -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)
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 – Computer Vision
Proficiency Level -3
Skill definition-Designing and utilizing digital systems to process, analyze, and interpret visual data.
Level 1 Behaviors
(General Familiarity)
Names some computer vision algorithms, such as object detection and motion estimation.
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Level 2 Behaviors
(Light Experience)
Uses industry-specific tools in conducting basic image processing, acquisition, and analysis.
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Level 3 Behaviors
(Moderate Experience)
Utilizes computer vision and deep learning to increase intelligence and produce actionable data.
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Level 4 Behaviors
(Extensive Experience)
Provides complete solutions to business problems using computer vision-related techniques.
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Level 5 Behaviors
(Mastery)
Establishes performance metrics and benchmarks to evaluate and optimize the computer vision system.
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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)
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)
Implements effective marketing strategies that achieve improved business outcomes.
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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)
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)
Lists basic planning tools and applications used in tracking and organizing time and tasks visually.
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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)
Works closely with colleagues to identify and reduce interruptions and barriers to time utilization.
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Level 4 Behaviors
(Extensive Experience)
Provides strategic direction to the workforce in managing time to avoid low-value work.
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Level 5 Behaviors
(Mastery)
Monitors the performance of business units to determine and eliminate deviations from priorities.
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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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