As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're ... Design production-quality agent systems in collaboration with engineering, ensuring reliability ...
As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're ... Design production-quality agent systems in collaboration with engineering, ensuring reliability ...
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Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
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Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Immediate ABOUT THE ROLE We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works ...
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Quick apply
AI Agent Evaluation Engineer - Remote
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Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server ...
Ai Agent Developer information
See Bothell, WA salary details
$38.4K is the 25th percentile. Wages below this are outliers.
$32.4K - $39.6K
30% of jobs
$39.6K - $46.7K
15% of jobs
The median wage is $48.1K / yr.
$46.7K - $53.9K
24% of jobs
$56.1K is the 75th percentile. Wages above this are outliers.
$53.9K - $61.1K
20% of jobs
$61.1K - $68.2K
8% of jobs
$68.2K - $75.4K
1% of jobs
$75.4K - $82.6K
0% of jobs
$82.6K - $89.7K
0% of jobs
$89.7K - $96.9K
0% of jobs
$96.9K - $104.1K
0% of jobs
$104.1K - $111.2K
2% of jobs
$32.4K
$53.6K
$111.2K
How much do ai agent developer jobs pay per year?
What is an AI agent developer?
An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.
What are some common challenges faced by AI agent developers in their daily work?
AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.
What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?
To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.
How to become an AI agent developer?
Is an AI Agent Developer a good career?
What are the most commonly searched types of Ai Agent Developer jobs in Bothell, WA?
The most popular types of Ai Agent Developer jobs in Bothell, WA are:
What are popular job titles related to Ai Agent Developer jobs in Bothell, WA?
For Ai Agent Developer jobs in Bothell, WA, the most frequently searched job titles are:
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The top searched job categories for Ai Agent Developer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Ai Agent Developer jobs?
Cities near Bothell, WA with the most Ai Agent Developer job openings:

Full-time
Re-posted 26 days ago
Key responsibilities
Own an AI agent from concept through general availability, including scoping, prototyping, and scaling to enterprise customers
Prototype and validate agent concepts rapidly using real customer workflows and data to ensure viability
Design and collaborate on production-quality agent systems that ensure reliability, auditability, and trust in regulated domains
Workday rating
7.6
Based on 12 frontline employees who took The Breakroom Quiz
157th of 247 rated software companies
Job description
Your work days are brighter here.
We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.
About the Team
Workday Agent Factory builds autonomous AI agents that become standalone product lines, not incremental AI features bolted onto existing workflows. We operate as a 0-to-1 team inside Workday: identifying high-conviction bets in complex, regulated domains like finance and HCM, then building production-grade agents that will become revenue lines. Our PMs prototype with their own hands, ship fast, and navigate the real constraints of enterprise customers: compliance, auditability, and deeply embedded business processes. If you want to build the next generation of enterprise software, not just add AI to the current one, this is the team.About the Role
We are looking for Principal Product Managers who have shipped production AI agent systems and want to do it again at enterprise scale. You will own an agent from concept through GA: scoping the bet, prototyping solutions, running early adopter programs, and scaling to Workday's global customer base. This is not a strategy-deck role. You will be hands-on with agent architectures, evaluation frameworks, and customer workflows daily, while also making sharp prioritization calls across a fast-moving portfolio.
This role requires a rare combination: the scrappiness to prototype and build in weeks, the technical depth to design reliable agent systems, and the domain judgment to solve real problems in highly regulated, highly complex environments.
Responsibilities:
Own an AI agent end-to-end, from identifying the opportunity through GA launch and beyond
Prototype and validate agent concepts rapidly, using real customer workflows and data to pressure-test viability before committing engineering resources
Design production-quality agent systems in collaboration with engineering, ensuring reliability, auditability, and trust in regulated domains
Run customer discovery and Early Adopter programs to validate value, generate references, and derisk at every stage
Identify the highest-ROI agent opportunities in finance and HCM, build conviction with data, and advocate for them within the organization
Define measurable value outcomes and evaluation frameworks that prove agent impact quantitatively
Collaborate deeply with domain PMs to understand workflows, constraints, and where autonomous agents unlock step-function value versus incremental improvement
Communicate agent vision and progress to executives, customers, field teams, and implementers, translating technical capability into business value
About You
Basic Qualifications:
11+ years of product management experience
5+ years in SaaS/B2B enterprise software
Direct experience building and shipping external, revenue generating AI forward product and /or agent systems to production (not just AI/ML features, but agents that reason, plan, and take action autonomously)
Deep technical acumen: you can evaluate agent architectures, debug failure modes, and make informed design tradeoffs with engineering
Strong communication and relationship-building skills across engineering, customers, and executive stakeholders
Other Qualifications:
Experience in regulated or complex domains (finance, HCM, healthcare, legal) where trust, compliance, and auditability are non-negotiable
Track record of 0-to-1 product development: you've taken something from idea to revenue, not just maintained an existing product
Bias for action, comfortable making high-stakes decisions with incomplete information and iterating from there
Experience managing Early Adopter or beta programs with enterprise customers
Ability to operate across multiple functions, influence senior executives, and drive alignment without authority
You'll be a great fit if:
You are already building agent systems, whether prototyping on weekends, shipping side projects, or pushing the boundaries at your current company
You have strong opinions on agent evaluation, reliability, and human-in-the-loop design, formed from hands-on experience, not just reading papers
You learn complex customer domains fast and can identify where agents create step-function value versus where they create risk
You are motivated by building new product lines from scratch, not optimizing existing ones
You are organized enough to track dozens of moving pieces across customers, engineering, and stakeholders while maintaining velocity
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: USA.CA.PleasantonPrimary Location Base Pay Range: $162,800 USD - $244,200 USDAdditional US Location(s) Base Pay Range: $167,200 USD - $294,000 USD
Our Approach to Flexible Work
With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
About Workday
Sourced by ZipRecruiter
Workday's journey began with a transformative idea generated during a breakfast conversation between its founders in sunny California. What set us apart from the start was our people-centric culture, driven by the core value of prioritizing our employees. At Workday, the happiness, growth, and contributions of every team member are at the heart of who we are. Our collaborative and employee-focused culture is the key ingredient for our business success. We not only care for our people but also for the communities and the environment, all while maintaining profitability. Embrace your uniqueness, as we encourage our Workmates to shine brightly in their authentic selves. Our passion and energy make us distinct, and we are inspired to create a brighter workday for everyone.
Industry
Software development
Company size
10,000+ Employees
Headquarters location
Pleasanton, CA, US
Year founded
2005