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Ai System Architect Jobs (NOW HIRING)

Hewlett Packard Enterprise

AI System Architect

Houston, TX · On-site +1

$232K/yr

AI System Architect This role has been designated as 'Remote/Teleworker', which means you will primarily work from home. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company ...

Tufin

AI System Architect - US

Boston, MA · On-site +1

The AI System Architect is the most senior technical role in this program - the person who defines the architecture, enforces the governance model, and owns the integration surface that every AI ...

Sandisk

Senior Principal AI System Architect

Milpitas, CA · On-site

$194K - $322K/yr

A System Architect focusing on advanced memory technology and AI Inference solution infrastructure will lead the definition of system level solutions with emphasis on compute memory bottlenecks ...

SK hynix America

AI/HPC System Architect

San Jose, CA · On-site

$284K/yr

AI/HPC System Architect Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, we're at the forefront of semiconductor innovation, developing ...

SK hynix America

AI/HPC System Architect

San Jose, CA · On-site

$155K - $255K/yr

AI/HPC System Architect Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, we're at the forefront of semiconductor innovation, developing ...

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 ...

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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 Jun 12, 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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI System Architect or senior AI executives that offer compensation in this range, often including base salary, bonuses, and stock options. These positions require advanced expertise in AI development, system design, and leadership, and are usually found in large tech companies or organizations investing heavily in AI innovation.

What are AI System Architects?

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 does an AI systems architect do?

An AI systems architect designs and develops complex artificial intelligence systems, including selecting appropriate algorithms, frameworks, and hardware. They analyze requirements, create system architecture, and oversee implementation to ensure AI solutions are efficient, scalable, and aligned with business goals. Strong knowledge of machine learning, programming, and cloud platforms is essential for this role.

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 salary of an AI architect?

The salary of an AI System Architect typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $200,000 with bonuses and benefits.

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.

How much do AI systems architects make?

AI systems architects typically earn between $100,000 and $180,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, cloud platforms, and large-scale system design can command higher salaries, often exceeding $200,000.
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Ai System Architect jobs near you
Infographic showing various Ai System Architect job openings in the United States as of June 2026, with employment types broken down into 36% Full Time, 57% Part Time, and 7% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $224,334 per year, or $107.9 per hour.

AI System Architect

Hewlett Packard Enterprise Development LP

Houston, TX • On-site, Remote

$232K/yr

Full-time

Posted 7 days ago

Job description

AI System ArchitectThis role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

HPC & AI Business Unit - AI System Architect

Distinguished Technologist. - AI & Machine Learning

Focusing on the AI system architecture needs for customers deploying high performance computing and AI systems, the work consists of architecting, designing, developing, analyzing, troubleshooting and debugging systems, software and solutions for research and/or research development of product, services, and solutions for HPE's portfolio. Requires a broad knowledge and application of engineering disciplines, methodologies and tools

Responsibilities:

  • Responsible for the overall AI system architecture of in the HPC & AI Infrastructure systems Solutions within HPE Business Unit.
  • Develops strategy and technology roadmaps for addressing AI system architecture across multiple platforms and products in the HPC and& AI Business unit. Ability to work collaboratively with AI and system experts across the company.
  • Communicates strategy and technology roadmaps to executive staff, industry partners, and customers; leverages recognized technical and business expertise to influence, guide, and shape business strategy and decision making at the highest organizational levels.
  • Provides consultation, design input, and feedback for development and design reviews across multiple organizations and architectures.
  • Guides and mentors less-experienced staff members to set an example of AI system design and development innovation and excellence.
  • Participates in and provides input on process for selection of future technical leaders

Education and Experience Required:

  • Bachelor's, Master's or PHD degree in Computer Science, Information Systems, or equivalent
  • 10+ years experience in AI & HPC technologies
  • Typically 15+ years total experience
  • Industry standards body participation preferred

Knowledge and Skills:

  • Proven track record of delivering AI systems/solutions to solve real-world problems
  • Specific knowledge in AI-for-science use cases would be beneficial
  • Deep understanding of AI system technologies
  • Ability to present internally and externally on AI system architecture
  • Ability to work across business unit teams to deliver complex solution requirements, and drive strategic engagements
  • Industry expert regarding development of AI systems/solutions
  • History of innovation and successful deployment of solutions in the field of advanced AI systems.
  • Outstanding analytical and problem solving skills.
  • Experience in overall architecture of HPC and& AI systems.
  • Excellent written and verbal communication skills; mastery in English and local language.
  • Ability to effectively communicate architectures, design proposals, and negotiate options at the most senior organizational levels.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#executive

Job:

Engineering

Job Level:

TCP_07"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 170,000 - 412,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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