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Ai Model Jobs in Bothell, WA (NOW HIRING)

This role involves applying large language models, retrieval-augmented generation, multi-agent ... Build AI-powered automation for privacy operations including intelligent data subject request ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

... models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and foundation ... AI Agent & LLM Engineering • Design and build multi-agent systems, orchestration layers, and ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Implement structured prompting, decision workflows, and tool orchestration - including MCP (Model ... Build AI-powered automation for privacy operations including intelligent DSR routing, threshold ...

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Ai Model information

See Bothell, WA salary details

$11

$35

$74

How much do ai model jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for ai model in Bothell, WA is $35.07, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $43.80 per hour, depending on experience, location, and employer.

What job makes AI models?

Data scientists, machine learning engineers, and AI researchers are common jobs that develop and build AI models. These roles involve designing algorithms, training models using large datasets, and utilizing tools like Python, TensorFlow, or PyTorch. Strong programming skills and knowledge of statistics are essential for creating effective AI models.

How to become an AI model?

To become an AI model developer, you should gain a strong foundation in programming languages like Python, study machine learning and deep learning concepts, and work with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also enhance your skills and employability in this field.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

How much do AI models get paid?

AI model developers and researchers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the models they work on. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, often exceeding $200,000. Compensation may also include bonuses, stock options, and benefits based on the employer and industry sector.

What are some common challenges faced by professionals working as AI Model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What are AI models?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI Model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
What job categories do people searching Ai Model jobs in Bothell, WA look for? The top searched job categories for Ai Model jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Ai Model jobs? Cities near Bothell, WA with the most Ai Model job openings:
Infographic showing various Ai Model job openings in Bothell, WA as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 60% In-person, 7% Hybrid, and 33% Remote job distribution, with an average salary of $72,937 per year, or $35.1 per hour.

Senior AI Engineer - Privacy

CYNET SYSTEMS

Bellevue, WA • On-site

$70 - $75/hr

Contractor

Re-posted 27 days ago


Job description

Job Overview:

Pay Range: $70/hr - $75/hr

  • The Senior AI Engineer – Privacy will design, build, and operationalize AI and agentic systems that power the data privacy platform at scale.
  • This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations.

Requirement/Must Have:

  • 7 years of experience as an AI Engineer with a focus on privacy.
  • 7 years of experience with Azure Data Factory and Azure.
  • 5 years of experience with Databricks and Snowflake.

Responsibilities:

  • Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain or equivalent.
  • Develop and operationalize retrieval-augmented generation pipelines integrating large language models into production privacy applications.
  • Implement structured prompting, decision workflows, and tool orchestration for autonomous agent systems.
  • Build AI-powered automation for privacy operations including intelligent data subject request routing and automated regulatory notifications.
  • Enable human-in-the-loop controls and escalation paths for AI-assisted decisions in sensitive privacy workflows.
  • Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training and inference.
  • Apply prompt engineering and fine-tuning techniques to adapt foundation models for privacy-specific use cases.
  • Implement vector databases and embedding strategies to power retrieval-augmented generation pipelines over internal privacy knowledge bases.
  • Ensure data quality, lineage, and governance standards are maintained across all AI training and inference pipelines.
  • Deploy and manage AI workloads on Azure or AWS, including serverless inference endpoints and GPU resources.
  • Build and maintain CI/CD pipelines for AI model deployment using GitLab or Azure DevOps.
  • Implement monitoring, alerting, and performance tracking for production AI models and agent systems.
  • Apply containerization and orchestration to ensure scalable and reliable AI service deployments.
  • Implement responsible AI principles across all AI systems used in privacy operations.
  • Ensure AI-assisted workflows comply with applicable state and federal privacy regulations.
  • Design and maintain audit trails and human-in-the-loop checkpoints for AI decisions affecting consumer privacy rights.
  • Collaborate with legal, compliance, and privacy operations teams to translate regulatory requirements into AI solution guardrails.
  • Partner with data engineers, full stack engineers, product managers, and privacy stakeholders to deliver end-to-end AI-powered privacy solutions.
  • Mentor junior engineers on AI/ML engineering practices and responsible AI design principles.
  • Produce clear technical documentation and architecture diagrams for AI systems in production.
  • Contribute to internal accelerators and reusable AI component libraries.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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