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$36.5K

$89.8K

$140K

How much do intelligent systems jobs pay per year?

As of Jul 5, 2026, the average yearly pay for intelligent systems in the United States is $89,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $112,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Intelligent Systems roles, and how can they be addressed?

Professionals in Intelligent Systems often encounter challenges such as integrating AI solutions with legacy systems, ensuring data quality for machine learning models, and keeping up with rapid advancements in technology. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is key to overcoming these hurdles. Staying proactive through continuous learning and participating in industry forums or trainings also helps professionals remain effective and innovative in this evolving field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or chief AI officer, often found in large tech companies or specialized firms. These roles usually require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and leadership responsibilities.

What are the key skills and qualifications needed to thrive as an Intelligent Systems Engineer, and why are they important?

To thrive as an Intelligent Systems Engineer, you need a solid background in computer science or engineering, proficiency in machine learning algorithms, and strong analytical skills, usually backed by a relevant degree. Familiarity with programming languages like Python or C++, knowledge of AI frameworks (such as TensorFlow or PyTorch), and experience with embedded systems or robotics platforms are typically required. Creative problem-solving, adaptability, and effective communication help professionals excel in interdisciplinary teams and innovative environments. These skills are essential for designing, implementing, and optimizing intelligent systems that solve complex real-world problems.

What is the difference between Intelligent Systems vs Data Analysts?

AspectIntelligent SystemsData Analysts
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fieldsBachelor's or higher in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, research labs, AI development firmsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed in AI, automation, robotics, and software developmentUsed in data interpretation, reporting, and decision-making

Intelligent Systems focus on designing and developing AI-driven solutions, while Data Analysts interpret data to support business decisions. Both roles require analytical skills but differ in technical complexity and application areas.

What are intelligent systems?

Intelligent systems are advanced computer-based systems that can perceive, reason, learn, and act autonomously or semi-autonomously in complex environments. These systems often use artificial intelligence (AI), machine learning, and data analytics to solve problems, make decisions, and adapt to new information. Examples include self-driving cars, smart home devices, robotics, and speech recognition systems. Intelligent systems are widely used in industries such as healthcare, manufacturing, transportation, and finance to enhance efficiency and innovation.

What are some examples of intelligent systems?

Intelligent systems are computer-based systems that use artificial intelligence techniques to mimic human decision-making and problem-solving. Examples include expert systems, which simulate human expertise; autonomous vehicles that navigate and make driving decisions; and recommendation systems used by online platforms to personalize content. These systems often incorporate machine learning, natural language processing, and data analysis to improve performance over time.

What is an intelligent systems engineering salary?

An intelligent systems engineering salary varies based on experience, education, and location, but typically ranges from $80,000 to $130,000 annually in the United States. Professionals in this field often have skills in machine learning, robotics, and software development, with higher salaries for those with advanced certifications or specialized expertise.

Which 3 jobs will survive AI?

In the field of Intelligent Systems, jobs such as AI system engineers, data scientists, and cybersecurity specialists are expected to remain in demand due to their reliance on complex problem-solving, domain expertise, and the need for human oversight. These roles require advanced technical skills, critical thinking, and adaptability that are difficult for AI to fully replicate. Continuous learning and certification in relevant tools like machine learning frameworks can enhance job security in these areas.
More about Intelligent Systems jobs
What states have the most Intelligent Systems jobs? States with the most job openings for Intelligent Systems jobs include:
What job categories do people searching Intelligent Systems jobs look for? The top searched job categories for Intelligent Systems jobs are:
Intelligent Systems jobs near you
Infographic showing various Intelligent Systems job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $89,782 per year, or $43.2 per hour.

Intelligent Systems Architect

SYS Integration

Washington, DC

$254K/yr

Full-time

Posted 20 hours ago

Job description

Data Scientist

Systems Integration, Inc. (SII) is a leading provider of customer experience, data analytics and digital transformation solutions. We are seeking a highly skilled Intelligent Systems Architect to help the FBI uncover actionable insights from vast and complex data sets. This role focuses on identifying enterprise-level toolsets, applying advanced data mining techniques, and building predictive models that integrate with FBI systems. The ideal candidate will be a strategic thinker with deep technical expertise and the ability to communicate findings clearly across all levels of the organization.

Responsibilities:

  • Select, build, and optimize machine learning classifiers using advanced techniques
  • Apply state-of-the-art data mining methods to extract meaningful patterns
  • Enhance data collection procedures to ensure relevance for analytic systems
  • Cleanse, process, and validate data integrity for analysis
  • Conduct ad-hoc analyses and present results in a clear, actionable format
  • Develop and monitor automated anomaly detection systems
  • Design innovative approaches for handling and analyzing large-scale data sets
  • Address fundamental challenges in data handling, search, and retention
  • Solve complex data storage and retrieval issues
  • Develop software solutions to improve data search and access processes
  • Analyze results and deliver recommendations that support mission objectives.

Qualifications:

  • Must be US Citizen
  • Requires a Top-Secret clearance (SCI Poly may be required later).
  • Strong understanding of machine learning algorithms (e.g., kNN, Naive Bayes, SVM, Decision Forests)
  • Proficiency with data science toolkits such as R, Weka, NumPy, and MATLAB
  • Excellent communication and presentation skills
  • Experience with tools like Microsoft Power BI, Anaconda, and SPSS
  • Skilled in data visualization using D3.js, GGplot, or similar platforms
  • Proficient in SQL and Hive for querying large datasets
  • Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase)
  • Solid foundation in applied statistics (distributions, testing, regression)
  • Strong scripting and programming capabilities.
  • Minimum 5 years of experience supporting data-driven projects of similar scope.
  • Bachelor's degree required in data science, statistics, computer science or related field.

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