Skills & Competencies for Senior AI Engineer

Senior AI Engineer job profile

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JOB SUMMARY for Senior AI Engineer

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

JOB RESPONSIBILITIES for Senior AI Engineer

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.

Senior AI Engineer SALARY RANGE

BASE 50%
$121,680
TOTAL 50%
$125,385
Job Level
P03
Job Code
IT10000584
Education/Degree
Master's Degree or MBA
Reports To
Manager or Head of a Unit/Department

Senior AI Engineer 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 Senior AI Engineer 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 Senior AI Engineer

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)
Explains the importance of using suitable programming languages and platforms in software engineering.
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Level 2 Behaviors
(Light Experience)
Prepares engineering documentation to ensure software adheres to user expectations.
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Level 3 Behaviors
(Moderate Experience)
Utilizes version control systems (VCS) to track and manage changes in software codes.
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Level 4 Behaviors
(Extensive Experience)
Evaluates and modifies existing development processes to optimize software production and reduce errors.
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Level 5 Behaviors
(Mastery)
Develops optimization strategies to improve software product quality and usability.
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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)
Identifies evolving trends and key challenges in AI applied machine learning and deep learning.
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Level 2 Behaviors
(Light Experience)
Selects appropriate programming languages in building, testing, and deploying AI models.
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Level 3 Behaviors
(Moderate Experience)
Translates unstructured data into useful information by auto-tagging images and text-to-speech conversions.
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Level 4 Behaviors
(Extensive Experience)
Manages AI teams to develop and test prototype software to implement innovative algorithms.
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Level 5 Behaviors
(Mastery)
Formulates standard methodologies for machine learning and AI product development and solutions.
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3 Senior AI Engineer - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Senior AI Engineer
Proficiency Level - 4
5 Competency for - Senior AI Engineer
Proficiency Level - 5

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

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)
Explains the common design patterns, data structures, and algorithms in cloud computing.
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Level 2 Behaviors
(Light Experience)
Follows our established procedures in helping with the planning of cloud computing strategies.
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Level 3 Behaviors
(Moderate Experience)
Uses modern cloud computing services to improve the performance of cloud applications.
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Level 4 Behaviors
(Extensive Experience)
Monitors industry trends to enhance the future direction of cloud services in our organization.
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Level 5 Behaviors
(Mastery)
Designs and develops tools to support overall cloud computing capabilities at our organization.
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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)
Explains the importance and benefits of deep learning in automation processes.
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Level 2 Behaviors
(Light Experience)
Performs data analysis using specialized software and deep machine learning methods.
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Level 3 Behaviors
(Moderate Experience)
Performs forward propagation and backpropagation to reduce the error and achieve high accuracy in a particular task.
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Level 4 Behaviors
(Extensive Experience)
Oversees the development of future generations of deep learning processors and computing platforms.
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Level 5 Behaviors
(Mastery)
Generates a mathematical framework to integrate deep learning algorithms into formal control methods.
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3 Senior AI Engineer - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Senior AI Engineer
Proficiency Level - 4
5 Competency for - Senior AI Engineer
Proficiency Level - 5

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

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)
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)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
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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)
Designs and implements feedback loops to identify and promptly address business problems.
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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)
Sets up processes to ensure delivery of high-quality work.
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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 Senior AI Engineer - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Senior AI Engineer
Proficiency Level - 4
5 Competency for - Senior AI Engineer
Proficiency Level - 5

Summary of Senior AI Engineer skills and competencies

There are 8 hard skills for Senior AI Engineer, Software Engineering, Artificial Intelligence (AI), Cognitive Computing, etc.
5 general skills for Senior AI Engineer, Cloud Computing, Deep Learning, Machine Learning, etc.
8 soft skills for Senior AI Engineer, 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 Senior AI Engineer, 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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