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Remote Intelligent Systems Engineering Jobs (NOW HIRING)

ManTech International

Systems Engineer

$116K - $194K/yr

... join our Intelligent Engineering Practice. This is a remote position where you will lead the Model-Based Systems Engineering (MBSE) approach to developing systems models for a cutting-edge ...

L3HHCM20

Manager, Systems Engineering

Lynchburg, VA · On-site +1

$127K - $236K/yr

Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off The Manager of System Solution Engineering (SSE) is the ...

L3HHCM20

Manager, Systems Engineering

Richmond, VA · On-site +1

$127K - $236K/yr

Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off The Manager of System Solution Engineering (SSE) is the ...

Intelligent Waves LLC

Products Engineer

Reston, VA · On-site +1

Overview Intelligent Waves is seeking 2 Products Engineers to support the design, deployment, and ... Minimum five (5) years of IT Network and/or Systems Engineering experience * Strong problem-solving ...

TripleTen

Our team is fully remote and globally distributed, and we serve a large, active student base across both regions. We're launching a program for experienced engineers transitioning into system ...

Axonius

Director, Systems Engineering

$200K - $240K/yr

US Remote, East or Central Timezones Axonius is seeking a leader for the global IT Engineering team to build secure, automated internal systems as the company scales globally. Reporting to the VP of ...

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Remote Intelligent Systems Engineering information

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$53.5K

$127.2K

$167K

How much do remote intelligent systems engineering jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote intelligent systems engineering in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Intelligent Systems Engineering vs Remote Robotics Engineering?

AspectRemote Intelligent Systems EngineeringRemote Robotics Engineering
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related fields; knowledge of AI, machine learning, and systems integrationBachelor's/Master's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentPrimarily software-focused, designing and developing intelligent systems remotelyCombination of software and hardware tasks, often involving remote collaboration on robotic systems
Industry UsageUsed across AI, automation, and software development companiesCommon in manufacturing, automation, and research institutions

Remote Intelligent Systems Engineering focuses on designing and developing software-driven intelligent systems, while Remote Robotics Engineering emphasizes both hardware and software aspects of robotic systems. Both roles require technical expertise and are prevalent in tech and industrial sectors, but they differ mainly in their focus on software versus hardware components.

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

To thrive as a Remote Intelligent Systems Engineer, you need a strong background in systems engineering, programming (such as Python, C++, or Java), and AI/machine learning principles, often supported by a relevant degree in engineering or computer science. Familiarity with tools like MATLAB, TensorFlow, ROS (Robot Operating System), and cloud-based platforms is typically required, along with certifications in AI or systems engineering. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for remote collaboration and project success. These qualifications and skills are crucial for designing, implementing, and maintaining complex intelligent systems while effectively collaborating with distributed teams.

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

Professionals in Remote Intelligent Systems Engineering often encounter challenges such as coordinating with distributed teams across different time zones, ensuring secure and reliable remote system operations, and maintaining effective communication during troubleshooting or system updates. To address these issues, engineers typically rely on robust collaboration tools, establish clear communication protocols, and schedule regular virtual meetings. Additionally, staying updated on best practices for cybersecurity and remote monitoring helps ensure smooth operation and rapid response to potential issues.

What is Remote Intelligent Systems Engineering?

Remote Intelligent Systems Engineering refers to the design, development, and maintenance of intelligent systems—such as AI-driven automation, robotics, or smart devices—while working from a remote location. Professionals in this field use advanced technologies to create systems that can perceive, learn, and make decisions, often collaborating with team members and clients virtually. This role typically requires expertise in artificial intelligence, machine learning, software engineering, and remote collaboration tools. The flexibility of remote work allows engineers to contribute to complex projects from anywhere, making it a popular choice in today's global tech industry.
More about Remote Intelligent Systems Engineering jobs
What cities are hiring for Remote Intelligent Systems Engineering jobs? Cities with the most Remote Intelligent Systems Engineering job openings:
What are the most commonly searched types of Intelligent Systems Engineering jobs? The most popular types of Intelligent Systems Engineering jobs are:
What states have the most Remote Intelligent Systems Engineering jobs? States with the most job openings for Remote Intelligent Systems Engineering jobs include:
What job categories do people searching Remote Intelligent Systems Engineering jobs look for? The top searched job categories for Remote Intelligent Systems Engineering jobs are:
Remote Intelligent Systems Engineering jobs near you
Infographic showing various Remote Intelligent Systems Engineering job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,215 per year, or $61.2 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, Remote

$151K - $250K/yr

Full-time

Posted 22 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

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.