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Ai System Architect Jobs (NOW HIRING)

System Architect

Santa Monica, CA · On-site

$272K/yr

Collaborate with software, hardware, AI/ML, robotics, and product teams throughout the development ... in Systems Architecture, Software Architecture, or a technical leadership role. * Strong ...

System Architect

Santa Clara, CA · On-site

$287K/yr

Our mission is to democratise AI by signicantly reducing the Total Cost of Ownership (TCO) of ... We are actively seeking a System Architect based in US (Bay Area or Austin preferred), EU ...

System Architect

Santa Clara, CA · On-site

$287K/yr

Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of ... We are actively seeking a System Architect based in US (Bay Area or Austin preferred), EU ...

Systems architecture expertise across distributed systems, cloud-native patterns, APIs/service-based design, event-driven architecture, and scalable workflow solutions. * Applied AI / GenAI depth ...

Systems architecture expertise across distributed systems, cloud-native patterns, APIs/service-based design, event-driven architecture, and scalable workflow solutions. * Applied AI / GenAI depth ...

System Architect

Santa Clara, CA · On-site

$150 - $200/hr

Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of ... We are actively seeking a System Architect based in US (Bay Area or Austin preferred), EU ...

System Architect

Santa Clara, CA · On-site

$120 - $160/hr

Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE We are seeking a hands‑on System Architect to lead the end‑to‑end architecture for our ...

System Architect

Palo Alto, CA · On-site

$285K/yr

... AI can design and create beyond human cognitive limits. About the Team Backed by Silicon Valley ... About this Role You will define the architecture for advanced compute and hardware systems ...

Perform the full AI/ML lifecycle hands-on, including: * Use-case evaluation and problem definition * Feature engineering and data preparation * Model selection, experimentation, training, and tuning

Senior System Architect

Bothell, WA · On-site

$162.10 - $187/hr

The Senior System Architect is responsible for designing, building, deploying, and supporting ... Perform the full AI/ML lifecycle hands‑on, including: * Use‑case evaluation and problem ...

Perform the full AI/ML lifecycle hands-on, including: * Use-case evaluation and problem definition * Feature engineering and data preparation * Model selection, experimentation, training, and tuning

System Architect

Palo Alto, CA · On-site

$285K/yr

... AI can design and create beyond human cognitive limits. About the Team Backed by Silicon Valley ... About this Role You will define the architecture for advanced compute and hardware systems ...

System Architect

Austin, TX · On-site

$146K - $286K/yr

Micron is seeking a System Architect to lead performance modeling and analysis of next-generation memory architectures for AI, server, data center, and mobile platforms. In this role, you'll conduct ...

Perform the full AI/ML lifecycle hands-on, including: * Use-case evaluation and problem definition * Feature engineering and data preparation * Model selection, experimentation, training, and tuning

System Architect

Fredericksburg, VA · On-site

$70 - $80/hr

... AI/ML deployment. * Establish and maintain DevOps/CI-CD pipelines, configuration repositories, and ... System Architecture & Integration: API-based integrations, microservices, SOA, and middleware ...

Showing results 21-40

Ai System Architect information

See salary details

$86.5K

$224.3K

$243.5K

How much do ai system architect jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai system architect in the United States is $224,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $243,000.00 and $243,000.00 per year, depending on experience, location, and employer.

What is an AI system architect?

AI System Architects are professionals who design, plan, and oversee the development of artificial intelligence systems within organizations. They are responsible for creating the overall architecture for AI solutions, ensuring that different technologies, algorithms, and data sources work together seamlessly. AI System Architects collaborate with data scientists, engineers, and business stakeholders to implement scalable and effective AI-driven products and services. Their role often includes evaluating new technologies, setting best practices, and ensuring the security and scalability of AI systems.

How does an AI system architect typically collaborate with data scientists and engineers during a project?

An AI System Architect works closely with data scientists to understand the requirements and constraints of AI models and ensures that system infrastructure supports their needs. They collaborate with engineers to design scalable, robust architectures and oversee the integration of AI components into existing systems. Regular communication and joint problem-solving are essential, as architects bridge the gap between high-level AI goals and practical implementation, often facilitating technical discussions and making critical design decisions.

What are the key skills and qualifications needed to thrive as an AI system architect, and why are they important?

To thrive as an AI System Architect, you need a deep understanding of machine learning, distributed systems, data engineering, and typically a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, GCP, or Azure), AI frameworks (such as TensorFlow or PyTorch), and experience with system design are essential, along with relevant certifications. Strong problem-solving skills, strategic thinking, and effective communication set top candidates apart. These skills ensure the architect can design scalable, efficient, and robust AI solutions that align with business objectives and technical requirements.

What is the difference between Ai System Architect vs Data Scientist?

AspectAi System ArchitectData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in AI/MLBachelor's or master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigning AI systems, collaborating with engineers, focusing on architectureAnalyzing data, building models, interpreting results
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsTech, finance, healthcare, marketing, research organizations

While both roles require knowledge of AI and ML, an Ai System Architect primarily designs and oversees AI system architecture, ensuring integration and scalability. In contrast, a Data Scientist focuses on analyzing data, building models, and deriving insights. The roles often collaborate but differ in their core responsibilities and focus areas.

How do you become an AI system architect?

To become an AI system architect, one typically needs a strong background in computer science, software engineering, or related fields, along with expertise in artificial intelligence, machine learning, and system design. Gaining experience through relevant projects, obtaining certifications in AI or cloud platforms, and developing skills in programming languages like Python and tools such as TensorFlow or PyTorch are also important steps.
More about Ai System Architect jobs

What cities are hiring for Ai System Architect jobs?

Cities with the most Ai System Architect job openings:

What states have the most Ai System Architect jobs?

States with the most job openings for Ai System Architect jobs include:

Infographic showing various Ai System Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $224,334 per year, or $107.9 per hour.

System Architect

Escalon Services, LLC.

Santa Monica, CA • On-site

$272K/yr

Full-time

Re-posted yesterday


Job description


About Our Client

Our client is a technology company developing next-generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial computing. Their products support mission-critical applications across defense, public safety, and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced environments and enjoy building impactful products from concept to deployment.

The Role

Our client is seeking a Systems Architect to define and lead the architecture of complex software and hardware systems across their AI, XR, and robotics platforms. In this role, you will work closely with engineering leadership and cross-functional teams to design scalable, secure, and high-performance solutions that support the company's long-term technology roadmap.

You will bridge product vision with technical execution, ensuring the platforms are reliable, maintainable, and built for future growth.

  • Design end-to-end system architectures for complex software and hardware solutions.
  • Define system requirements, interfaces, and technical specifications.
  • Lead architectural decisions across distributed systems, cloud infrastructure, embedded systems, and AI applications.
  • Collaborate with software, hardware, AI/ML, robotics, and product teams throughout the development lifecycle.
  • Evaluate technologies, frameworks, and tools to ensure scalability, security, and performance.
  • Establish architectural standards, design principles, and engineering best practices.
  • Conduct architecture reviews and provide technical mentorship to engineering teams.
  • Identify technical risks early and develop mitigation strategies.
  • Support integration, testing, deployment, and long-term system evolution.
  • Create and maintain technical documentation and architecture diagrams.

  • Bachelor's or master's degree in computer science, Software Engineering, Systems Engineering, Electrical Engineering, or a related field.
  • 4+ years of experience in Systems Architecture, Software Architecture, or a technical leadership role.
  • Strong understanding of distributed systems and scalable software design.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proficiency in C++, Python, Java, or C#.
  • Experience designing APIs, microservices, and event-driven architectures.
  • Knowledge of networking, security, and systems integration.
  • Experience working in Agile development environments.
  • Strong communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with AI/ML platforms and data pipelines.
  • Experience with robotics, autonomous systems, XR/AR/VR technologies, or computer vision.
  • Familiarity with embedded systems and edge computing.
  • Experience with Docker and Kubernetes.
  • Understanding of cybersecurity best practices and secure system design.
  • Experience supporting defense, aerospace, or government-funded programs.

  • Comprehensive Health Benefits
  • Opportunity to work on innovative AI, robotics, XR, and autonomous technologies
  • Collaborative multidisciplinary engineering environment
  • Career growth and professional development opportunities