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Ai Agent Engineer Jobs in Bothell, WA (NOW HIRING)

Nvidia

Senior Engineer - AI Agents and Systems

Redmond, WA

$117K - $160K/yr

Act as the lead engineer for developing the agent frameworks natively on Windows environments. You will shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs ...

Nvidia

Senior Engineer - AI Agents and Systems

Redmond, WA

$117K - $160K/yr

Act as the lead engineer for developing the agent frameworks natively on Windows environments. You will shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs ...

Spar Information Systems

AI ML Engineer

Bellevue, WA · On-site +1

AI Agent & LLM Engineering Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent. Develop and ...

Saransh Inc

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

AI Agent & LLM Engineering • Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent. • Develop ...

QXO

Senior AI Engineer

Seattle, WA · On-site

$150K - $220K/yr

Responsibilities AI Agent Development & Deployment * Architect, build, and optimize AI agents using ... Systems Engineering & Tooling * Develop internal libraries, reusable modules, and standardized ...

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All JobsAi Agent Engineer JobsAi Agent Engineer Jobs in Bothell, WA

Ai Agent Engineer information

See Bothell, WA salary details

$28

$59

$85

How much do ai agent engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for ai agent engineer in Bothell, WA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $69.62 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or specialized research scientists earning total compensation that includes salary, bonuses, and stock options. These positions often require advanced skills in AI development, leadership experience, and a strong track record in the industry.

What is an AI Agent Engineer job?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are some typical challenges faced by AI Agent Engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are the key skills and qualifications needed to thrive in the Ai Agent Engineer position, and why are they important?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

Which 3 jobs will survive AI?

For an AI Agent Engineer, roles that require complex problem-solving, creativity, and emotional intelligence are likely to persist, such as software developers, data scientists, and user experience designers. These jobs involve tasks that are difficult for AI to fully replicate and often require human oversight, critical thinking, and interpersonal skills. Continuous learning and expertise in AI tools can also help professionals stay relevant in evolving tech environments.

What engineers make $500,000?

Senior AI Agent Engineers, machine learning engineers, and data scientists with extensive experience and advanced skills in AI development can earn $500,000 or more annually, especially in high-demand industries or companies. Achieving this level typically requires specialized expertise, advanced degrees, and a strong track record of successful projects.

What is an AI agent engineer?

An AI agent engineer designs, develops, and maintains autonomous AI systems that can perceive their environment, make decisions, and perform tasks independently. They often work with machine learning models, reinforcement learning, and simulation tools to create intelligent agents for applications like robotics, virtual assistants, or automation systems.
What are popular job titles related to Ai Agent Engineer jobs in Bothell, WA? For Ai Agent Engineer jobs in Bothell, WA, the most frequently searched job titles are:
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Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in Bothell, WA as of June 2026, with employment types broken down into 70% Full Time, 29% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,703 per year, or $60 per hour.

Forward Deployed Engineer - AI Solutions Engineering

Aircall

Seattle, WA • Remote

Full-time

Posted 20 days ago

Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
 
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
 
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
 
How we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.

About the Team
 
Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates.
 
About the Role
 
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption.
 
Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership
What you'll do:
  • Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.
  • Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.
  • Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.
  • Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.
  • Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.
  • Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.
  • Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.
  • Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.
  • Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.
  • Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.
  • Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.
  • Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.
  • Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.
  • Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.
What you'll bring:
  • 2–8 years or more in technical consulting, solutions engineering, or integration-focused project management.
  • Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.
  • Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
  • Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
  • Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.
  • Excellent communication and stakeholder management skills, translating between technical and business audiences.
  • A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability.
 
  • Nice-to-haves:
  • Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).
  • Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).
  • Exposure to scripting (JavaScript/Python) for light customization and debugging.
What Success Looks Like:
  • Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.
  • Shortened time-to-first-value and increased automation adoption across SMB customers.
  • Reusable frameworks, models, and templates actively used by peers and partners.
  • Strong collaboration with Engineering and Product to enhance platform capabilities.
  • Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.
  • Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions
This base range is not including a quarterly bonus (20 percent) and other benefits. The maximum OTE for this role is 170K, including a 34K bonus. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.
Why This Role is Unique
 
This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter.
 
If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career.

Why join us?
 
\uD83D\uDE80 Key moment to join Aircall in terms of growth and opportunities
\uD83D\uDC86‍♀️ Our people matter, work-life balance is important at Aircall
\uD83D\uDCDA Fast-learning environment, entrepreneurial and strong team spirit
\uD83C\uDF0D 45+ Nationalities: cosmopolite & multi-cultural mindset
\uD83D\uDCB5 Competitive salary package & benefits 
\uD83C\uDFE8 Medical, dental, and vision insurance is 100% covered
\uD83D\uDCC8 401k plan with company matching!
✈️ Unlimited PTO — take the time you need to come to work feeling great!
⭐️ Wellness, internet, and childcare reimbursements
\uD83D\uDC9A Generous parental leave policy
 
DE&I Statement: 
At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. 
 
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.  
 
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.