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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.
AI Systems Architect - Azure AI Foundry, Fabric, Copilot & Multi-Agent Systems (Digital Workforce)

AI Systems Architect - Azure AI Foundry, Fabric, Copilot & Multi-Agent Systems (Digital Workforce)

KORE1 Technologies

Saint Cloud, MN • On-site

$151K - $250K/yr

Full-time

Posted 20 days ago

Job description

Location: This is a fully remote position; however, candidates must reside in one of our approved hiring states: DE, FL, IA, IL, IN, KY, MD, MI, MN, MO, ME, NE, ND, NJ, PA, RI, SD, TX, or WI. Central time zone is preferred.
KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for an AI Systems Architect - Azure AI Foundry, Fabric, Copilot & Multi-Agent Systems (Digital Workforce)
We're building AI-powered Digital Employees-intelligent systems that automate work, interact across business platforms, orchestrate workflows, and become part of the modern workforce.
We're looking for an experienced AI Systems Architect to help design and build the platform foundations that make this possible.
This role sits at the intersection of AI architecture, software engineering, platform design, and emerging technology strategy. You'll work directly with modern AI ecosystems including Azure AI Foundry, Microsoft Fabric, Azure OpenAI, multi-agent systems, APIs, orchestration technologies, and enterprise integration platforms to create scalable AI solutions that solve meaningful business challenges.
This is a role for someone who enjoys building systems-not simply configuring products.
What You'll Build
You'll architect and deliver:
  • AI-powered Digital Employees and intelligent workflow systems
  • Enterprise AI platforms leveraging large language models and agent-based architectures
  • Multi-agent systems capable of coordinating business processes and workflows
  • AI pipelines powered by Azure AI Foundry, Microsoft Fabric, and Azure AI services
  • Deep system-to-system integrations across SaaS, cloud, data, and business platforms
  • Secure APIs and communication layers enabling AI interoperability
  • Retrieval, orchestration, and context-sharing frameworks
  • Scalable AI products and managed service offerings
  • Foundational architecture enabling our AI Digital Workforce ecosystem

What You'll Do
  • Architect intelligent systems and AI platforms
    • Design end-to-end AI architectures across cloud, hybrid, and enterprise environments
    • Build proof-of-concepts and production-ready AI solutions leveraging generative AI ecosystems
    • Define reusable architecture patterns, standards, and technical frameworks
    • Create scalable designs for AI agents, orchestration workflows, retrieval systems, and enterprise integrations
    • Balance innovation, scalability, supportability, and operational excellence
    • Evaluate emerging technologies and rapidly determine practical business applications
  • Lead AI platform and integration strategy
    • Design interfaces between AI systems and enterprise applications using APIs, service architectures, and event-driven systems
    • Architect modern system-to-system integrations across Microsoft, SaaS, cloud, and line-of-business platforms
    • Establish standards for AI interoperability and orchestration
    • Develop patterns for context sharing, workflow coordination, and AI communication
    • Help define our approach to emerging standards including Model Context Protocol (MCP), agent interoperability, and modern AI communication frameworks
    • Develop scalable architectural approaches for AI-to-system connectivity
  • Help shape the future of AI Digital Employees
    • Lead development of AI and Digital Employee offerings from concept through market launch
    • Collaborate closely with engineering, innovation, security, sales, and operations teams
    • Participate directly in customer workshops, pilots, and technical strategy discussions
    • Translate highly technical concepts into practical business outcomes
    • Mentor internal teams on AI architecture and emerging technologies
    • Influence long-term AI strategy and technical direction

Job Requirements
What We're Looking For
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related technical discipline.
  • 8+ years of experience in architecture, software engineering, platform engineering, systems engineering, or advanced technical leadership roles.
  • Proven experience designing and delivering enterprise-grade technology solutions from concept through production deployment.
  • Demonstrated hands-on experience building, deploying, and supporting AI, Generative AI, LLM, intelligent automation, agent-based, or machine learning solutions in production environments.
  • Deep hands-on experience with Azure AI Foundry, Microsoft Fabric, Azure OpenAI, Azure AI Services, Copilot Studio, and Azure-native AI architecture patterns.
  • Experience designing and implementing multi-agent systems, agent orchestration frameworks, Retrieval Augmented Generation (RAG), context engineering, agent memory, and intelligent workflow architectures.
  • Strong experience building AI pipelines, workflows, and enterprise AI solutions leveraging modern AI platforms and services.
  • Deep expertise with REST APIs, enterprise integrations, event-driven architectures, distributed systems, microservices, OAuth, SAML, and modern identity platforms.
  • Strong software engineering background with hands-on Python development experience and modern application architecture practices.
  • Experience integrating AI solutions across cloud platforms, SaaS applications, enterprise systems, and data environments.
  • Strong understanding of data architecture, data grounding, retrieval strategies, and enterprise AI data patterns.
  • Demonstrated ability to personally architect, prototype, build, and deploy AI solutions; this is a hands-on builder role, not a pure strategy or governance position.
  • Strong communication skills with the ability to translate complex technical concepts into practical business outcomes.

Preferred Qualifications
  • Experience building and deploying local or self-hosted LLMs.
  • Experience with voice agents, conversational AI, digital employees, avatar-based AI solutions, or intelligent automation platforms.
  • Experience with Model Context Protocol (MCP), agent interoperability standards, and AI communication frameworks.
  • Experience developing SDKs, connectors, middleware solutions, or reusable integration frameworks.
  • Experience building AI solutions outside the Microsoft ecosystem.
  • Experience supporting managed AI services, commercial AI products, or AI platform offerings.
  • Experience participating in customer workshops, pilots, solution demonstrations, or technical strategy discussions.
  • Experience mentoring engineers and establishing architecture standards, best practices, and reusable technical frameworks.
  • Experience with AI governance, observability, monitoring, and operational best practices.
  • Azure, Microsoft AI, Microsoft Fabric, Azure OpenAI, or related cloud certifications.

Compensation depends on experience but is typically $151K - $250K + 10% bonus incentive opportunity
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.

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