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Open Ai Jobs in Bothell, WA (NOW HIRING)

Pwc

AI Engineer

Seattle, WA · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable ... opportunity to learn and grow, opening doors to more opportunities within the firm.

Skillenai

AI Software Engineer

Seattle, WA · On-site

Get a daily email digest of new AI Software Engineer jobs Skillenai aggregates ai software engineer jobs from across the open web. Free account required (~30 seconds). Frequently asked questions ...

Uw

AI Agent Builder

Seattle, WA · On-site

Contributions to open-source AI/ML projects. * Experience with REST API and MCP integrations is highly desirable; familiarity with A2A integrations is a plus but not required. Working Conditions Work ...

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Showing results 21-40

All JobsOpen Ai JobsOpen Ai Jobs in Bothell, WA

Open Ai information

See Bothell, WA salary details

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$73

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How much do open ai jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for open ai in Bothell, WA is $73.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $111.78 per hour, depending on experience, location, and employer.

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

To thrive as an AI Research Scientist, you need a strong foundation in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and familiarity with cloud platforms and version control systems is essential. Creative problem-solving, strong communication, and the ability to collaborate within interdisciplinary teams are standout soft skills. These skills enable the development of innovative AI models and solutions, driving advancements and practical applications in artificial intelligence.

What is the difference between Open Ai vs Data Scientist?

AspectOpen AiData Scientist
Required CredentialsTypically advanced degrees in AI, machine learning, or related fields; experience with AI frameworksDegree in computer science, statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentResearch labs, tech companies, AI startups; focus on AI model developmentCorporate, consulting, or research settings; focus on data analysis and insights
Industry UsageAI research, machine learning development, AI product creationData analysis, predictive modeling, business insights
Common Search/ComparisonOpen Ai vs Data Scientist

Open Ai professionals focus on developing and researching artificial intelligence models, often working in research labs or tech companies. Data Scientists analyze data to generate insights, build predictive models, and support business decisions. While both roles require strong technical skills, Open Ai roles are more specialized in AI research and model creation, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges faced by professionals working in AI research and development roles at companies like OpenAI?

Professionals in AI research and development roles often encounter challenges such as keeping up with the rapidly evolving landscape of machine learning techniques, ensuring ethical considerations are incorporated into their work, and collaborating effectively with multidisciplinary teams. Additionally, balancing the push for innovative solutions with the need for robust, reliable models can be demanding. Regularly communicating complex technical findings to non-technical stakeholders and contributing to open-source projects are also key aspects of the role.

What is OpenAI and what does the company do?

OpenAI is an artificial intelligence research organization that focuses on developing and promoting friendly AI for the benefit of humanity. The company is known for creating advanced AI models such as GPT (Generative Pre-trained Transformer) and DALL-E, which are used in natural language processing, image generation, and other AI applications. OpenAI conducts research, builds tools, and provides API access to its models for businesses and developers. Its mission is to ensure that artificial general intelligence (AGI) benefits everyone and to lead the way in AI safety and ethics.

What job categories do people searching Open Ai jobs in Bothell, WA look for?

The top searched job categories for Open Ai jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Open Ai jobs?

Cities near Bothell, WA with the most Open Ai job openings:

Open Ai jobs near you
Infographic showing various Open Ai job openings in Bothell, WA as of August 2026, with employment types broken down into 80% Full Time, 12% Part Time, 4% Temporary, and 4% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $152,938 per year, or $73.5 per hour.

Cyber Forward Deployed Engineer - Senior Consultant

Deloitte

Seattle, WA

Full-time

Posted 5 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you will do:

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.

Solution Delivery & Engineering (Primary Focus)

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  • Identify, troubleshoot, and resolve technical issues within scope

Pre-Sales & Deal Shaping

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.

Customer Delivery Leadership

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements

Product Feedback & Continuous Improvement

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The Team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

We require 5+ years of experience for all areas below:

  • Hands-on experience in full stack development across frontend and backend technologies.
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience conducting code reviews and guiding teams on best practices.
  • Experience delivering and scaling applications on AWS, Azure, or GCP.
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

We require 1+ years of experience for all areas below:

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems.
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions.

Client-Facing & Delivery Ownership

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
  • 5+ Years experience articulating technical concepts, risks, and trade-offs.
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications

  • Anthropic experience and/or certification STRONGLY preferred
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100.

#CyberCtBEngg

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you will do:

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.

Solution Delivery & Engineering (Primary Focus)

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  • Identify, troubleshoot, and resolve technical issues within scope

Pre-Sales & Deal Shaping

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.

Customer Delivery Leadership

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements

Product Feedback & Continuous Improvement

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The Team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

We require 5+ years of experience for all areas below:

  • Hands-on experience in full stack development across frontend and backend technologies.
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience conducting code reviews and guiding teams on best practices.
  • Experience delivering and scaling applications on AWS, Azure, or GCP.
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

We require 1+ years of experience for all areas below:

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems.
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions.

Client-Facing & Delivery Ownership

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
  • 5+ Years experience articulating technical concepts, risks, and trade-offs.
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications

  • Anthropic experience and/or certification STRONGLY preferred
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100.

#CyberCtBEngg

Education:Bachelor's DegreeEmployment Type:

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