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Generative Ai Architect Jobs in Draper, UT (NOW HIRING)

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt ... Understanding of microservices architecture and API development * Knowledge of serverless design ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt ... Understanding of microservices architecture and API development * Knowledge of serverless design ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt ... Understanding of microservices architecture and API development * Knowledge of serverless design ...

Showing results 21-40

Generative Ai Architect information

See Draper, UT salary details

$43.5K

$120.4K

$188.4K

How much do generative ai architect jobs pay per year?

As of Sep 4, 2026, the average yearly pay for generative ai architect in Draper, UT is $120,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $155,200.00 per year, depending on experience, location, and employer.

What are the main challenges a Generative AI Architect faces when designing scalable AI solutions?

Generative AI Architects often encounter challenges related to balancing computational efficiency with model accuracy, especially when deploying large-scale models in production environments. Ensuring data privacy and ethical AI use is also critical, as these systems may generate content based on sensitive or proprietary data. Additionally, collaborating effectively with cross-functional teams—such as data scientists, engineers, and business stakeholders—is essential to align technical solutions with organizational goals. Staying up-to-date with rapid advancements in generative AI techniques is another ongoing challenge in this dynamic field.

What are the key skills and qualifications needed to thrive as a Generative AI Architect?

To thrive as a Generative AI Architect, you need strong expertise in machine learning, deep learning, and software engineering, usually supported by an advanced degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS or Azure, as well as experience with MLOps tools, is typically required. Creative problem-solving, strong communication, and cross-functional collaboration are vital soft skills for designing innovative AI solutions and guiding teams. These skills ensure the architect can build scalable, cutting-edge generative AI systems that address business needs and drive technological advancement.

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

AspectGenerative Ai ArchitectData Scientist
CredentialsAI/ML certifications, advanced degrees in CS or AIStatistics, Data Analysis, Computer Science degrees
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, business units
Industry UsageAI product development, machine learning projectsData analysis, predictive modeling, business insights
Search/Comparison IntentUnderstanding AI architecture roles, technical skillsData analysis skills, project scope

While both roles involve working with data and advanced technologies, a Generative Ai Architect specializes in designing and implementing AI models that generate content, whereas a Data Scientist focuses on analyzing data to extract insights and build predictive models. The roles often overlap in skills like programming and machine learning, but their primary focus and work environments differ.

How to become a generative AI architect?

To become a generative AI architect, one should have a strong background in computer science, machine learning, and deep learning, with experience in neural network models such as transformers and GANs. Proficiency in programming languages like Python, familiarity with AI frameworks like TensorFlow or PyTorch, and knowledge of data preprocessing are essential. Gaining certifications in AI or machine learning and working on relevant projects can also enhance qualifications for this role.

What are popular job titles related to Generative Ai Architect jobs in Draper, UT?

For Generative Ai Architect jobs in Draper, UT, the most frequently searched job titles are:

Infographic showing various Generative Ai Architect job openings in Draper, UT as of August 2026, with employment types broken down into 32% Full Time, and 68% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $120,367 per year, or $57.9 per hour.

Senior Solution Architect

System One

Salt Lake City, UT • On-site

Contractor

Posted 29 days ago


Job description

Job Title: Senior Solution Architect Client Location: Salt Lake City, Utah Type: Contract To Hire Work Model: Onsite Experience * 8+ years of progressive experience in software engineering, solution architecture, or enterprise application development * Demonstrated progression from senior software engineer into architecture, technical leadership, or enterprise solution design roles * Experience designing enterprise-scale, cloud-native applications supporting complex business environments * Proven success leading architecture decisions across multiple concurrent initiatives * Experience collaborating with executive stakeholders and cross-functional technical teams Technical Expertise Strong experience designing and implementing enterprise solutions utilizing technologies such as: Programming * Java * Python * Modern object-oriented programming languages Cloud Platforms * Amazon Web Services (AWS) * Microsoft Azure * Google Cloud Platform (GCP) - Preferred Architecture & Design * Microservices * Event-driven architecture * Enterprise integration patterns * API-first design * Domain-Driven Design (DDD) * Distributed systems Integration Technologies * RESTful APIs * JSON * XML * API Management platforms * Enterprise messaging * Apache Kafka or comparable event-streaming technologies DevOps & Cloud Engineering * Docker * Kubernetes * Infrastructure as Code (Terraform, Bicep, CloudFormation, or similar) * CI/CD pipelines * Git * Azure DevOps * GitHub Data Technologies * SQL * Relational databases * Data modeling and query optimization Operating Systems * Linux Shell scripting AI & Emerging Technologies * Generative AI * Agentic AI * AI-assisted software development * Intelligent automation Preferred Qualifications Experience in one or more of the following is highly desirable: * Enterprise Architecture frameworks (TOGAF or equivalent) * Cloud migration and modernization initiatives * API Management platforms (Apigee, Kong, MuleSoft, Azure API Management, etc.) * Event streaming platforms (Kafka, Event Hubs, or similar) * Data integration and analytics platforms * Security architecture, identity, and access management (IAM) * DevSecOps practices * Observability and monitoring platforms (Splunk, Dynatrace, Grafana, Prometheus, Datadog, etc.) * Experience within financial services, government, healthcare, or other regulated industries * Agile, Scrum, and SAFe delivery environments * Technical leadership across geographically distributed engineering organizations Ref: #404-IT Pittsburgh


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US