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What is an intelligent systems engineer and how to become one

Updated January 8, 2025
3 min read

Intelligent Systems engineers are in high demand for a good reason. Artificial intelligence has seemingly endless potential to improve and simplify tasks commonly done by humans, including speech recognition, image processing, business process management, and even disease diagnosis.

If you're already technically inclined and have a software programming background, you may want to consider a lucrative AI career and know-how to become an Intelligent Systems Engineer. Basic computer technology alongside good math backgrounds forms the backbone of most Intelligence systems.

Entry-level positions require you to have at least a bachelor's degree, while positions entailing supervision, leadership, or administrative roles frequently require master's or doctoral degrees. The average annual salary of an intelligent systems engineer is $114,121 in the United States. The wage may differ in several organizations, and with the knowledge and expertise, you bring to the table.

ScoreIntelligent Systems EngineerUS Average
Salary
7.7

Avg. Salary $103,352

Avg. Salary $59,228

Stability level
5.9

Growth rate 21%

Growth rate 0.3%

Diversity
4.1
Race

American Indian and Alaska Native 0.51%

Asian 11.99%

Black or African American 6.24%

Hispanic or Latino 8.82%

Unknown 4.70%

White 67.73%

Gender

female 8.74%

male 91.26%

Age - 43
Race

American Indian and Alaska Native 3.00%

Asian 7.00%

Black or African American 14.00%

Hispanic or Latino 19.00%

White 57.00%

Gender

female 47.00%

male 53.00%

Age - 43
Stress level
5.9

Stress level is manageable

7.1 - high

Complexity level
8.0

Complexity level is challenging

7 - challenging

Work life balance
5.3

Work life balance is fair

6.4 - fair

Key steps to become an intelligent systems engineer

  1. Explore intelligent systems engineer education requirements

    Most common intelligent systems engineer degrees

    Bachelor's

    64.1 %

    Master's

    19.6 %

    Associate

    14.1 %
  2. Start to develop specific intelligent systems engineer skills

    SkillsPercentages
    Artificial Intelligence41.55%
    Java14.73%
    Python13.04%
    Architecture7.73%
    Cloud5.41%
  3. Complete relevant intelligent systems engineer training and internships

    Accountants spend an average of 3-6 months on post-employment, on-the-job training. New intelligent systems engineers learn the skills and techniques required for their job and employer during this time. The chart below shows how long it takes to gain competency as an intelligent systems engineer based on U.S. Bureau of Labor Statistics data and data from real intelligent systems engineer resumes.
  4. Research intelligent systems engineer duties and responsibilities

    • Perform responsibilities of collecting and understanding business requirements for an internal TCS project to automate the report generations.
    • Support NGA Bethesda campus SMS servers.
    • Retire intelligence professional with TS/SCI poly clearance seeks local job in west Florida.
    • Perform database tuning, data validation and ETL data transactions of massive record sets containing millions of records.
  5. Apply for intelligent systems engineer jobs

    Now it's time to start searching for an intelligent systems engineer job. Consider the tips below for a successful job search:

    1. Browse job boards for relevant postings
    2. Consult your professional network
    3. Reach out to companies you're interested in working for directly
    4. Watch out for job scams

How did you land your first intelligent systems engineer job

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Average intelligent systems engineer salary

The average intelligent systems engineer salary in the United States is $103,352 per year or $50 per hour. Intelligent systems engineer salaries range between $75,000 and $142,000 per year.

Average intelligent systems engineer salary
$103,352 Yearly
$49.69 hourly

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Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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