Skills & Competencies for AI Engineer III

AI Engineer III job profile

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JOB SUMMARY for AI Engineer III

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

JOB RESPONSIBILITIES for AI Engineer III

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 III SALARY RANGE

BASE 50%
$151,123
TOTAL 50%
$157,007
Job Level
P03
Job Code
IT10000584
Education/Degree
Bachelor's Degree
Reports To
Manager or Head of a Unit/Department

AI Engineer III 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 III 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 III

1 Industry Competency – Software Engineering
Proficiency Level -3
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)
Describes the application of engineering principles and methods in software architecture design.
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Level 2 Behaviors
(Light Experience)
Gathers and compiles user requirements to support software design and development processes.
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Level 3 Behaviors
(Moderate Experience)
Performs system analyses to assess the functionality and interoperability of software products.
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Level 4 Behaviors
(Extensive Experience)
Establishes performance metrics to track the effectiveness of software engineering processes and procedures.
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Level 5 Behaviors
(Mastery)
Designs and executes innovative strategies to streamline software engineering processes.
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2 Industry Competency – Artificial Intelligence (AI)
Proficiency Level -3
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)
Explains the basic processes for designing algorithms and automating predictive models.
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Level 2 Behaviors
(Light Experience)
Documents use cases suitable for AI and machine learning experiments.
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Level 3 Behaviors
(Moderate Experience)
Participates in research projects that develop various algorithms and systems in computer vision.
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Level 4 Behaviors
(Extensive Experience)
Leverages machine learning and AI output data to improve system tooling and workflows continually.
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Level 5 Behaviors
(Mastery)
Develops machine learning and AI paths across strategic programs, solutions, and customer relationships.
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3 AI Engineer III - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer III
Proficiency Level - 4
5 Competency for - AI Engineer III
Proficiency Level - 5

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

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)
Describes the difference between public cloud technology and traditional computing.
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Level 2 Behaviors
(Light Experience)
Documents the modern technologies and trends for cloud computing.
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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)
Integrates virtualization systems to deliver high visibility of cloud computing initiatives.
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Level 5 Behaviors
(Mastery)
Creates design specifications to ensure stable computing operations in a cloud-based environment.
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2 Job Family Competencies – Deep Learning
Proficiency Level -3
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)
Gathers labeled data set to design a network architecture that will learn features and model.
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Level 3 Behaviors
(Moderate Experience)
Executes transfer learning approach to avoid time-consuming training processes.
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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)
Creates detailed performance models and simulators for computing systems to accelerate deep learning training.
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3 AI Engineer III - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer III
Proficiency Level - 4
5 Competency for - AI Engineer III
Proficiency Level - 5

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

1 Core Competencies – Innovation
Proficiency Level -3
Skill definition-The ability and process of implementing new ideas and initiatives to improve organizational performance.
Level 1 Behaviors
(General Familiarity)
Discusses the strengths and weaknesses of our products and services.
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Level 2 Behaviors
(Light Experience)
Explains advantages and disadvantages of different organizational structures from an efficiency perspective.
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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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2 Core Competencies – Attention to Detail
Proficiency Level -3
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Lists best practices and tools to maintain high accuracy and thoroughness in the workplace.
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Level 2 Behaviors
(Light Experience)
Uses checklists to ensure that information goes out error-free.
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Level 3 Behaviors
(Moderate Experience)
Suggests solutions to issues that arise while executing the tasks.
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Level 4 Behaviors
(Extensive Experience)
Employs techniques for motivating personnel to meet or exceed accuracy goals.
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Level 5 Behaviors
(Mastery)
Leads the creation of tools for enhancing and assuring accuracy.
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3 AI Engineer III - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer III
Proficiency Level - 4
5 Competency for - AI Engineer III
Proficiency Level - 5

Summary of AI Engineer III skills and competencies

There are 8 hard skills for AI Engineer III, Software Engineering, Artificial Intelligence (AI), Cognitive Computing, etc.
5 general skills for AI Engineer III, Cloud Computing, Deep Learning, Machine Learning, etc.
8 soft skills for AI Engineer III, Innovation, Attention to Detail, Time Management, etc.
While the list totals 21 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 III, 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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