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Ai Optimization Jobs in Seattle, WA (NOW HIRING)

Zscaler

AI Solutions Engineer, People & Culture

Human Resources is being transformed around Human + AI optimization, and you will be the driving force behind this transformation. Part builder, part co-builder, and part teacher, you will spearhead ...

AMD

Fellow, AI Workload Optimization

Bellevue, WA · On-site

They are seeking a visionary technical leader to define and drive software optimization strategies for AI workloads, ensuring maximum performance for their customers. Responsibilities : • Set the ...

Zscaler

AI Solutions Engineer, People & Culture

Human Resources is being transformed around Human + AI optimization, and you will be the driving force behind this transformation. Part builder, part co-builder, and part teacher, you will spearhead ...

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All JobsAi Optimization JobsAi Optimization Jobs in Seattle, WA

Ai Optimization information

See Seattle, WA salary details

$46

$67

$93

How much do ai optimization jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for ai optimization in Seattle, WA is $67.88, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $83.70 per hour, depending on experience, location, and employer.

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

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

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in Seattle, WA?

For Ai Optimization jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Ai Optimization jobs in Seattle, WA look for?

The top searched job categories for Ai Optimization jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Ai Optimization jobs?

Cities near Seattle, WA with the most Ai Optimization job openings:

Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $141,191 per year, or $67.9 per hour.

AI Solutions Engineer, People & Culture

Remote

Zscaler
Network Security • 501 - 1,000 employees
Learn more about Zscalerexternal

Full-time

Posted 17 days ago

Job description

We are looking for an AI Solutions Engineer, People & Culture to join our team. This is a remote US based role, reporting to the AI Transformation Director in the Global People & Culture Organization. Human Resources is being transformed around Human + AI optimization, and you will be the driving force behind this transformation. Part builder, part co-builder, and part teacher, you will spearhead our transition to an AI-native HR function by encoding the judgment of our best practitioners into safe, governed agents that seamlessly integrate with human ingenuity to unlock unprecedented outcomes.

What you'll do (Role Expectations)

  • Design, deploy, and continuously improve the most impactful and high-risk agents using Gemini agent builder, Claude, Codex, and MCP integrations, owning the full maturity path from initial prototype to a hardened, governed product
  • Pair deeply with subject matter experts-from compensation analysts to recruiters-to build domain-specific agents, transferring your technical craft so they can independently maintain and evolve their own tools
  • Redesign workflows from the inside out to ensure we solve fundamental process issues rather than simply automating a broken system
  • Operate what you ship as a true product owner by monitoring adoption, diagnosing failures, and guiding stakeholders to turn skeptics into sponsors
  • Partner closely with the AI Center of Excellence and Forward Deployed Engineering team to solve the hardest technical integration challenges on shared rails, as well as co-create mature governance standards

Who You Are (Success Profile)

  • You are a "Figure-it-out" person who navigates ambiguity with ease and addresses fundamental process issues rather than bolting AI onto the current state
  • You are technically fluent and a proven builder with a portfolio of shipped, adopted GenAI agents, hands-on with skills, MCPs, data, automations, prompt design, and evals
  • You are a force multiplier who teaches as you work, measuring your success by the new capabilities you leave behind in others
  • You are a champion of adoption and change management who brings stakeholders along and ensures deployments stick in real-world applications
  • You are deeply aware of the risks associated with people data, building with care while defining the long-term playbook for an AI-native HR function

What We're Looking for (Minimum Qualifications)

  • Demonstrated hands-on experience building AI agents, automations, or tools that changed how real work gets done
  • Technical fluency sufficient to design agents architecture and instructions, work with MCPs and governance systems, and evaluate outputs at the system level without needing engineering handholding.
  • Track record of taking solutions from problem identification through real adoption while simultaneously upskilling others through training, enablement, or sustained co-working
  • Highly autonomous, self-directed, and comfortable operating as a senior individual contributor in a domain being invented in real time

What Will Make You Stand Out (Preferred Qualifications)

  • Sit at the rare intersection of engineering depth and HR practice, ensuring we avoid both technically correct agents that the field ignores and HR prototypes that do not scale
  • Possess a deep understanding of how to balance cutting-edge agent building with the practical realities, risks, and sensitivities of HR operations
  • Drawn to early-stage, high-impact opportunities and eager to be a primary author of the playbook for AI-native HR

#LI-RL2 #LI-Remote

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