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

Staff Software Engineer, AI Tools

Seattle, WA · On-site

$177.18 - $364.80/hr

Design and evolve the AI integration architecture - define standards, guardrails, and reusable ... Mentor and uplevel other engineers by reviewing designs and implementations, sharing best practices ...

AI Agentic Engineer

Seattle, WA · On-site +1

$60 - $82.25/hr

What you'll do As an AI Agentic Engineer on the Platform AI Engineering team, you will drive the ... Integrate AI agents with SaaS and IT platforms to drive self-healing and auto-remediation ...

We are seeking a highly skilled GCP System Engineer to manage the operational stability, configuration, and deep-level integration of the Google Contact Center AI (CCAI) platform and its related ...

.Net fullstack Lead

Redmond, WA · On-site

$66 - $86.50/hr

Work with SQL and/or NoSQL databases for efficient data storage and retrieval DevOps & Operational ... Design and build services that integrate Generative AI / LLMs

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Showing results 21-40

Ai Integration Engineer information

See Bothell, WA salary details

$49.7K

$138.9K

$194K

How much do ai integration engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai integration engineer in Bothell, WA is $138,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Bothell, WA?

For Ai Integration Engineer jobs in Bothell, WA, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Ai Integration Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $141,269 per year, or $67.9 per hour.

Lab Operations & Hardware Integration Engineer

Team Red Dog

Redmond, WA • On-site

$138K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Team Red Dog is hiring a Lab Operations & Hardware Integration Engineer for our client, a next-generation cloud platform company and Fortune 50 technology leader. This hands-on engineering role supports cutting-edge Azure node hardware across development labs and datacenter environments, combining server hardware integration, rack deployment, system bring-up, networking, troubleshooting, and automation. You'll work directly with hardware, firmware, silicon, validation, infrastructure, and IT teams to keep complex lab systems operational and accelerate critical engineering milestones. This is an excellent opportunity for an engineer who enjoys moving between physical hardware, UART and console debugging, network configuration, Python scripting, and large-scale lab operations.
Top Required Skills (Must Haves):
  1. 5+ years of experience supporting hardware development labs, datacenters, manufacturing labs, or validation environments, including hands-on deployment, maintenance, and troubleshooting.
  2. Strong server hardware and rack integration experience, including hardware bring-up, cabling, deployment, break-fix, system configuration, and troubleshooting.
  3. Hands-on experience with serial communications, UART interfaces, console access, debug ports, and low-level system debugging.
  4. Scripting and infrastructure skills using Python, Bash, PowerShell, or similar languages, along with networking fundamentals including switches, VLANs, subnets, routing, and connectivity troubleshooting.

Opportunity Overview:
Work hands-on with cutting-edge Azure node hardware while supporting the development and validation environments behind next-generation cloud infrastructure. This role offers an unusual combination of hardware engineering, datacenter and lab operations, networking, system troubleshooting, and automation. A typical day may include setting up hardware racks, configuring network access, rebooting and configuring nodes, running validation tests, troubleshooting systems, automating repetitive workflows, and reporting results to engineering teams.
How you will make an impact:
  • Instrument prototype servers and development platforms using serial consoles, UART interfaces, debug ports, and other engineering tools.
  • Install, configure, cable, and validate servers, racks, networking equipment, and supporting lab infrastructure.
  • Support hardware bring-up, system integration, platform validation, and engineering test activities.
  • Diagnose platform, firmware, hardware, networking, and infrastructure issues throughout the development lifecycle.
  • Perform break-fix activities, preventative maintenance, and ongoing system sustainment.
  • Develop and maintain automation scripts using Python, Bash, PowerShell, or similar scripting languages.
  • Build tools that simplify system deployment, validation, inventory tracking, test execution, data collection, and lab workflows.
  • Support rack deployments, hardware installation, cable management, equipment moves, power validation, and environmental readiness.
  • Manage lab inventory, spare components, consumables, development hardware, and test equipment.
  • Assist with switch configuration, subnet and VLAN troubleshooting, connectivity validation, and lab network readiness.
  • Partner with hardware, firmware, silicon, security, validation, networking, infrastructure, and IT teams to resolve technical issues and remove blockers.
  • Maintain clear technical documentation and contribute to process improvements, operational readiness reviews, and lessons learned.
  • Follow established lab safety, ESD, security, access, and hardware-handling procedures.

The expertise you bring:
  • 5+ years of experience supporting hardware development labs, datacenters, manufacturing labs, system integration labs, or hardware validation environments.
  • Hands-on experience with server hardware, rack integration, system bring-up, deployment, maintenance, and troubleshooting.
  • Experience using serial communications, UARTs, console access, debug ports, and low-level system debugging techniques.
  • Experience scripting with Python, Bash, PowerShell, or similar languages.
  • Working knowledge of networking fundamentals, including switching, VLANs, subnets, routing, and connectivity troubleshooting.
  • Strong troubleshooting, root-cause analysis, and problem-solving skills across hardware and infrastructure environments.
  • Ability to work effectively across engineering, operations, networking, and infrastructure teams.
  • Familiarity with Linux administration and hardware validation environments is preferred.
  • Experience supporting silicon development or platform validation programs is preferred.
  • Experience with oscilloscopes, protocol analyzers, logic analyzers, or other engineering instrumentation is beneficial.
  • Experience supporting large-scale cloud, server, AI, or datacenter hardware platforms is highly valued.
  • Experience with inventory management systems, automation frameworks, or lab operations tooling is preferred.
  • Ability to work fully onsite to support facility, lab maintenance, and hardware operations.
  • Ability to satisfy the client's citizenship attestation requirements.

What makes a candidate highly successful in this role:
Successful candidates are highly hands-on technical problem solvers who are comfortable taking ownership when something in the lab is not working. They can move easily between installing and troubleshooting server hardware, connecting through a UART console, diagnosing a network configuration problem, writing a Python script to automate repetitive work, and coordinating with multiple engineering teams to resolve an issue. Strong candidates are proactive, organized, technically curious, and able to identify blockers quickly rather than simply escalating them. Performance will be measured through SLA delivery, responsiveness, quality of work, and the ability to resolve issues efficiently while keeping critical lab environments operational.
Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions-because we believe your career should reflect who you are.
Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us-and discover what it means to be genuinely valued in your career.
Generous benefits package for qualified employees includes:
Health insurance (medical, dental, vision, and life)
Employer-matched 401K plan
Paid Time Off
Flexible Paid Holiday Benefit
Estimated Start Date: Immediately
Location: Fully onsite - Redmond, WA
Job #2584
Job Type and Estimated Duration: W2 contract opportunity through June 30, 2027, with the potential to extend up to 18 months total, subject to performance, budget, and client discretion.
Rate: $64-$69/hour
Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.
We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.
All applicants must be authorized to work in the U.S. without the need for sponsorship.
Team Red Dog is an E-Verify employer.
Employment is contingent upon the successful completion of a reference and background check.
Please no solicitations from C2C or recruiting firms.