ZipRecruiter

Log In

1

Ai System Architect Jobs (NOW HIRING)

GM Financial

Lead System Architect

Irving, TX · On-site

From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech ... The Lead Systems Architect - Agentic AI holds a critical role at the intersection of enterprise ...

GM Financial

Lead System Architect

Irving, TX · Hybrid

From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech ... The Lead Systems Architect - Agentic AI holds a critical role at the intersection of enterprise ...

Escalon Services, LLC.

System Architect

Santa Monica, CA

$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 ...

Kandou Bus SA

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 ...

Kandou Bus

System Architect

Santa Clara, CA

$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 ...

Kandou Bus

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 ...

Cna

System Architect Director - AI Innovation

Chicago, IL

$250K/yr

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

CNA

System Architect Director - AI Innovation

Chicago, IL · On-site

$250K/yr

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

Advanced Micro Devices

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 ...

Verathon, Inc.

Senior System Architect

Bothell, WA · On-site

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

Verathon, Inc.

Senior System Architect

Bothell, WA

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

Voltai, Inc

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 ...

Voltai

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 ...

Verathon, Inc.

Senior System Architect

Bothell, WA · On-site

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

previous pagenext page

Showing results 21-40

All JobsAi System Architect Jobs

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 Aug 16, 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 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.

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.

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.

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.
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:

What job categories do people searching Ai System Architect jobs look for?

The top searched job categories for Ai System Architect jobs are:

Ai System Architect jobs near you
Infographic showing various Ai System Architect job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $224,334 per year, or $107.9 per hour.

Lead System Architect

GM Financial

Irving, TX • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.

GM Financial rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

54th of 173 rated vehicle equipment hire

Job description


Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Responsibilities
About the role:
The Lead Systems Architect - Agentic AI holds a critical role at the intersection of enterprise architecture, emerging AI capabilities, and business value realization. This role serves both as a technical strategist and a hands-on architecture leader, with a strong emphasis on evaluating how Agentic AI and GenAI capabilities can be effectively and safely integrated into the existing enterprise ecosystem.
As a technical leader, this role is responsible for assessing current architecture and infrastructure, conducting feasibility studies, and mapping business use cases and requirements to the organization's AI and system capabilities. The Lead Systems Architect - Agentic AI ensures that proposed solutions are practical, scalable, observable, and production-ready, while aligning with enterprise standards and constraints.
This role requires deep expertise in Agentic AI and Generative AI architectures, including orchestration patterns, tool usage, memory, reasoning workflows, and decision frameworks. The architect must also ensure robust validation mechanisms, observability frameworks, and production deployment strategies for AI systems.
As a performance leader, this role partners with system architects, engineering teams, and business stakeholders to drive clarity, alignment, and execution, while mentoring teams on modern AI architecture practices, responsible AI principles, and production-grade deployments.
In this role you will:
  • Define and drive enterprise strategy for Agentic AI and GenAI aligned to business goals
  • Assess systems, cloud, and infrastructure readiness for AI adoption
  • Evaluate AI use cases for feasibility, scalability, cost, risk, and compliance
  • Translate business needs into architecture; identify gaps and recommend solutions
  • Design reference architectures and patterns (orchestration, tools, memory, reasoning)
  • Establish validation and observability approaches (testing, benchmarking, monitoring)
  • Guide production deployment and integration with cloud-native, microservices platforms
  • Advise stakeholders, shape governance and standards, promote Azure adoption, and mentor teams on responsible AI and best practices

Qualifications
What makes you an ideal candidate?
  • Assess enterprise architecture, infrastructure, and cloud readiness for Agentic AI
  • Evaluate use cases through fit-gap analysis, feasibility, scalability, and risk
  • Define and evolve scalable, modular architectures for Agentic AI and GenAI solutions
  • Design systems across orchestration, tool integration, memory, and reasoning workflows
  • Apply best practices for GenAI (RAG, prompt orchestration, fine-tuning)
  • Establish validation frameworks and performance evaluation (accuracy, reliability, safety)
  • Implement end-to-end observability (tracing, monitoring, metrics, debugging)
  • Lead deployment of enterprise AI solutions in Azure with strong security and governance
  • Integrate AI into cloud-native, microservices environments using modern DevOps practices
  • Partner across teams to translate business needs into technical solutions and drive alignment
  • Promote standards, best practices, and responsible AI adoption
  • Mentor teams and communicate complex AI concepts clearly to diverse stakeholders

Experience
  • 7-10 years of architecture experience required
  • Experience leading technical teams preferred
  • High School Diploma or equivalent required
  • Bachelor's Degree in related field or equivalent work or military experience preferred

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture. We have an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than. work - we thrive.
Compensation: Competitive salary and bonus eligibility; this role is eligible for company vehicle program.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office.

What GM Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply