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Non Exempt Artificial Intelligence Architect Jobs

Artificial Intelligence Architect

New York, NY · On-site +1

$69.75 - $89.75/hr

About the Role We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver ...

Business Intelligence Architect

Salisbury, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exempt position, primarily day shift Monday-Friday. Evening and weekend work as needed. Business Intelligence Architect Benefits Benefits: We provide a robust benefits suite for our eligible team ...

Business Intelligence Architect

Salisbury, MD · On-site

$86K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exempt position, primarily day shift Monday-Friday. Evening and weekend work as needed. Business Intelligence Architect Benefits Benefits: We provide a robust benefits suite for our eligible team ...

Business Intelligence Architect

WV · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational ... Architect intuitive, interactive dashboards and visualizations that communicate business insights ...

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Non Exempt Artificial Intelligence Architect information

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$28

$69

$98

How much do non exempt artificial intelligence architect jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for non exempt artificial intelligence architect in the United States is $69.93, according to ZipRecruiter salary data. Most workers in this role earn between $59.13 and $78.85 per hour, depending on experience, location, and employer.

What is the difference between Non Exempt Artificial Intelligence Architect vs Non Exempt Data Scientist?

AspectNon Exempt Artificial Intelligence ArchitectNon Exempt Data Scientist
CredentialsRelevant degrees in AI, computer science, or related fields; certifications in AI or machine learningDegrees in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentTypically in tech companies, R&D labs, or AI-focused teams; often collaborativeIn various industries like finance, healthcare, or tech; data analysis and modeling focus
Employer & Industry UsageUsed in organizations developing AI solutions, automation, and intelligent systemsCommon in data-driven roles across multiple industries for insights and decision-making

While both roles involve working with data and algorithms, Non Exempt Artificial Intelligence Architects focus on designing and implementing AI systems, whereas Non Exempt Data Scientists analyze data to extract insights. The AI Architect role emphasizes system architecture and AI development, while Data Scientists focus on data analysis and modeling.

More about Non Exempt Artificial Intelligence Architect jobs

What cities are hiring for Non Exempt Artificial Intelligence Architect jobs?

Cities with the most Non Exempt Artificial Intelligence Architect job openings:

What states have the most Non Exempt Artificial Intelligence Architect jobs?

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What job categories do people searching Non Exempt Artificial Intelligence Architect jobs look for?

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Infographic showing various Non Exempt Artificial Intelligence Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $145,445 per year, or $69.9 per hour.

Artificial Intelligence Architect

Appvion, LLC

Keswick, VA • On-site

Full-time

Posted 23 days ago


Appvion rating

8.3

Company rating: 8.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

About the Role

We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver scalable, secure, and governed AI solutions tied directly to business outcomes. You'll sit at the intersection of engineering, data, and business strategy, designing the systems and setting the standards that accelerate AI adoption across the enterprise.

What You'll Do

  • Design the enterprise AI/ML architecture, including reference patterns and multi-entity / multi-tenant architectures with governed data boundaries
  • Evaluate and select AI platforms, frameworks, and cloud services
  • Establish technical standards for model development, testing, and deployment
  • Design agentic search and retrieval systems for enterprise knowledge grounding
  • Review and approve architecture for all AI use cases after they reach production
  • Define data architecture requirements for ML pipelines
  • Lead build vs. buy evaluations for AI tooling
  • Mentor technical team members and drive engineering excellence
  • Stay current on AI/ML technology trends and assess their relevance to our roadmap

Qualifications

  • 8+ years in software or data architecture, with 4+ years focused on ML systems
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) and their ML services
  • Proven experience designing production ML pipelines at enterprise scale
  • Strong understanding of MLOps, model monitoring, and deployment patterns
  • Experience with both traditional ML and modern LLM/GenAI architectures
  • Familiarity with core enterprise infrastructure architecture

Skills

  • Languages: Python, SQL, and Scala for ML and data engineering
  • ML frameworks: PyTorch, TensorFlow, scikit-learn, and Hugging Face
  • MLOps: Docker, Kubernetes, CI/CD, MLflow, and model registries
  • Cloud & data: AWS, Azure, GCP, Spark, Airflow, and feature stores
  • LLM, GenAI & agentic search: RAG, fine-tuning, prompt engineering, vector databases, query planning, tool use, retrieval orchestration, and multi-step reasoning
  • Responsible AI: governance, model monitoring, and security by design
  • Solution mindset: design thinking, trade-off analysis, and pragmatic delivery

*LI-MD1


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