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Ai System Architect Jobs (NOW HIRING)

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

Lead the end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across heterogeneous data sources. The architect is responsible for defining ...

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 ...

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 ...

System Architect

Washington, DC · On-site

$274K/yr

They are seeking a highly experienced System Architect in Rail Transportation to provide technical ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

System Architect

San Jose, CA · 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 ...

AI System Engineer

San Jose, CA · On-site

$117K - $160K/yr

AI System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK ... Design and develop next-generation memory solution architecture and hardware prototypes for energy ...

System Architect

El Segundo, CA · On-site

$86K - $198K/yr

System Architect The Opportunity: Create, integrate, and apply interdisciplinary digital models of ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

AI System Engineer

San Jose, CA

$117K - $160K/yr

AI System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK ... Design and develop next-generation memory solution architecture and hardware prototypes for energy ...

SYSTEM ARCHITECT

Dayton, OH · On-site

$236K/yr

... AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains ... Ignite is currently seeking driven, detail-oriented System Architect to support intelligence ...

System Architect

California, MO · On-site

$120 - $170/hr

... characterization across AI, server, and mobile workloads. * Select simulation tools and ... system architecture, performance modeling, computer architecture, SoC design, or memory systems

System Architect

El Segundo, CA · On-site

$86K - $198K/yr

System Architect The Opportunity: Create, integrate, and apply interdisciplinary digital models of ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

The Advanced System Architecture Group is at the forefront of shaping the future of memory and storage technologies for AI, server, and mobile computing systems. We are a team of innovators focused ...

SYSTEM ARCHITECT

Dayton, OH · On-site

$236K/yr

Job Title SYSTEM ARCHITECT Location Dayton, OH US (Primary) Category Engineering Job Type Full-Time ... AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

The Advanced System Architecture Group is at the forefront of shaping the future of memory and storage technologies for AI, server, and mobile computing systems. We are a team of innovators focused ...

Showing results 41-60

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 21, 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, 12% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $224,334 per year, or $107.9 per hour.

Senior System Architect

Verathon, Inc.

Bothell, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Verathon is a global medical device company focused on supporting customers by being their trusted partner, delivering high-quality products that endure over time and ensure clinical and economic utility. Two areas where Verathon has significantly impacted patient care, and become the market leader in each, are bladder volume measurement and airway management. The company’s BladderScan portable ultrasound and GlideScope video laryngoscopy & bronchoscopy systems effectively address unmet needs for healthcare providers and meaningfully raise the standard of care for patients. Verathon, a subsidiary of Roper Technologies, is headquartered in Bothell, Washington, USA and has international subsidiaries in Canada, Europe and Asia Pacific. For more information, please visit www.verathon.com.


Verathon® is seeking a Senior System Architect to join the Information Technology organization. This plays a key role as the company’s hands-on technical owner for Artificial Intelligence (AI) and Machine Learning (ML) initiatives.

The Senior System Architect is responsible for designing, building, deploying, and supporting AI-driven solutions end-to-end, leveraging Verathon’s unified data platform. This role intentionally combines Data Scientist, ML Engineer, and AI Solutions Architect responsibilities into a single senior position focused on delivering production-ready AI capabilities that directly support business outcomes.

This position partners closely with business stakeholders and the Data Engineering team to translate AI initiatives into scalable, secure, and usable systems that enable analytics, automation, prediction, and decision support across the organization.


  • Serve as a key technical owner for AI and Machine Learning initiatives across Verathon.
  • 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
  • Model validation and performance evaluation
  • Deployment, monitoring, and ongoing optimization
  • Design and implement production-grade AI and ML systems, supporting both batch and real-time inference patterns.
  • Build and maintain AI-powered applications, dashboards, and decision-support tools that enable business users to leverage advanced analytics and automation.
  • Lead enterprise AI enablement initiatives, including:
  • Generative AI and large language model (LLM) use cases (e.g., research, analytics, summarization, and knowledge discovery)
  • Predictive and prescriptive analytics
  • Intelligent automation of business processes
  • Evaluate, prototype, and recommend AI platforms and tools (e.g., ChatGPT, Claude, Glean, Azure AI services, and other third-party solutions) based on security, scalability, compliance, and business value.
  • Architect AI solutions leveraging Verathon’s unified data platform, defining:
  • Data and feature requirements
  • Modeling and semantic layers
  • Model-serving and system integration patterns
  • Translate AI initiatives into clear technical and data requirements for the Data Engineering team, ensuring data pipelines support AI and advanced analytics use cases.
  • Establish and follow best practices for AI development, including model lifecycle management, monitoring, responsible AI, and governance.
  • Partner with business stakeholders to identify, prioritize, and deliver high-impact AI use cases that improve efficiency, insight, and decision-making.
  • Stay current with emerging AI and ML technologies and proactively identify opportunities to apply them at Verathon.
  • Ensure all AI systems comply with Verathon’s System Development Life Cycle (SDLC), Computer Systems Validation, security, and data governance policies.
  • Develop and maintain technical documentation, solution designs, and training materials for AI-enabled systems.

  • Bachelor’s degree with 6+ years of experience, or Master’s degree with 4+ years of experience, in AI/ML, data engineering, analytics, computer science, or related fields.
  • Proven hands-on experience delivering end-to-end AI/ML solutions in production environments.
  • Demonstrated ability to perform both Data Scientist and ML Engineer responsibilities within a single role.
  • Strong understanding of data architecture concepts, including data lakes, lakehouse patterns, and layered data modeling.
  • Experience working with cloud-based data and AI platforms, preferably Microsoft Azure.
  • Hands-on familiarity with Generative AI and LLM-based solutions, including evaluation and implementation of enterprise AI tools.
  • Strong software engineering mindset applied to ML systems, including testing, monitoring, scalability, and maintainability.
  • Working knowledge of SQL and data analytics concepts.
  • Experience building AI-enabled applications, dashboards, or analytical tools consumed by business users.
  • Ability to independently design and deliver solutions while collaborating effectively across teams.
  • Strong analytical, problem-solving, and research skills.
  • Experience with Agile and/or Waterfall methodologies and SDLC best practices.
  • Excellent written and verbal communication skills, with the ability to explain complex AI concepts to non-technical audiences.
  • High integrity, strong attention to detail, and excellent organizational skills.
  • Ability to work effectively both independently and as part of a cross-functional team.

Salary range - $162,096.00 - $187,000.00 (Compensation will vary based on skills, experience and location; it is not typical to be hired at or above the top of the salary range).

Full-time employees who are not on a commission plan are eligible for Verathon’s annual bonus plan based on company and individual performance.

Verathon provides a competitive benefits package including medical, dental, vision, basic life insurance, paid holidays, paid time off and a 401(k) matching plan.  For more information, please visit our complete Benefits Summary at https://www.verathon.com/sites/default/files/2026-02/US_HQ_Employee_Benefits_Summary.pdf.


Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If youre currently reading this and hesitating to click Apply for that reason, we encourage you to go for it! Even if you are not a match for this role, we may have another opportunity that may be a great fit.
Verathon is an equal opportunity employer and strongly supports diversity in the workplace. We believe that diverse ideas, opinions and perspectives will build a strong foundation for success. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Verathon will be based on merit, qualifications, and abilities. Verathon does not discriminate in employment opportunities or practices on the basis of race, color, religion, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by law.

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About Verathon

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Bothell, WA, US

Year founded

1984