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Ai Integration Engineer Jobs in Oregon (NOW HIRING)

Sr Integration Engineer

Bend, OR · On-site

$109K - $147K/yr

The Senior Integration Engineer on the Platform Products & Services (PPS) team is responsible for ... AI platforms, and API gateways * Cross-Functional Collaboration: Working closely with business ...

Sr Integration Engineer

Bend, OR · On-site

$109K - $147K/yr

The Senior Integration Engineer on the Platform Products & Services (PPS) team is responsible for ... AI platforms, and API gateways * Cross-Functional Collaboration: Working closely with business ...

The Process Integration and Technology Development Engineer defines, develops, and implements ... Design and analyze statistical experiments using DOE, regression, and AI-assisted methods to ...

The Process Integration and Technology Development Engineer defines, develops, and implements ... Familiarity with AI/ML techniques, data mining, or statistical modeling applied to semiconductor ...

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

From integrating machine learning models and generative AI services to guiding best practices and ... Champion Engineering Excellence : Write high quality, welltested code and guide peers in adopting ...

Staff Security Engineer, AI Platform IT Engineering Cyber Resiliency Remote The role in a nutshell ... Own API key lifecycle management and secrets hygiene for all AI integrations * Manage SSO/SCIM ...

AI Automation Engineer Agentic AI Developer AI Workflow Engineer AI Integration Specialist Prompt Engineering Associate Automation Consultant AI Product Builder LLM Application Developer Who May ...

Forward Deployed AI Engineer

OR · Remote

$103K - $139K/yr

Implement and integrate NewRocket Agent Packs and AI solutions into enterprise environments. Work ... Solution Engineering & Prototyping Build demos, prototypes, and proof-of-concept implementations to ...

Integration Architect

OR · Remote

$70.75 - $91.25/hr

Critically evaluate AI-generated interface maps, dependency diagrams, data flow analyses, and ... Participate in technical architecture reviews, modernization planning sessions, and engineering ...

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

What you'll do As a Lead AI Solutions Delivery Engineer, you will be on the front lines, embedded ... Docusign's integration with Open AI, Claude Cowork, Microsoft CoPilot, Harvey and Legora) and other ...

$114K - $137K/yr

Stay informed of emerging AI data engineering trends and Microsoft Fabric AI integrations Collaboration and Cross-Domain Partnership * Partner with application and infrastructure teams to ensure ...

DevOps Engineer III

Portland, OR · On-site

$117K - $150K/yr

Inside the Role Develops and executes a Development Operations (DevOps)to ensure quality software ... AI integrations. Lead system upgrades, large-scale implementations, and cross-functional ...

OR · On-site

Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware ... Collaborate with the Analyzer Integration Engineer on the communication layer between ECL and ...

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Showing results 1-20

Ai Integration Engineer information

See Oregon salary details

$47K

$131.4K

$183.4K

How much do ai integration engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for ai integration engineer in Oregon is $131,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $148,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI executive, senior machine learning engineer, or AI research director that offers a total compensation package including salary, bonuses, and stock options. These roles usually require advanced skills in AI, deep learning, and data science, along with extensive experience and often involve leadership responsibilities in innovative technology companies.

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 does an AI integration engineer do?

An AI integration engineer designs and implements systems that incorporate artificial intelligence into existing software or hardware platforms. They work with machine learning models, APIs, and data pipelines to ensure seamless integration, often using programming languages like Python and tools such as cloud services. Their role involves testing, troubleshooting, and optimizing AI components for reliable performance within broader applications.

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.

Are AI engineers highly paid?

AI integration engineers are generally well-paid due to the high demand for expertise in artificial intelligence, machine learning, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other engineering roles. Advanced skills in programming, neural networks, and cloud platforms can further increase earning potential.

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.

What engineer makes 500,000 a year?

Highly experienced AI Integration Engineers working in senior or specialized roles at large technology companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Such compensation typically requires advanced skills in machine learning, software development, and cloud platforms, along with extensive industry experience and a strong track record of successful projects.

What are AI Integration Engineers?

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 popular job titles related to Ai Integration Engineer jobs in Oregon? For Ai Integration Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Ai Integration Engineer jobs in Oregon look for? The top searched job categories for Ai Integration Engineer jobs in Oregon are:
What cities in Oregon are hiring for Ai Integration Engineer jobs? Cities in Oregon with the most Ai Integration Engineer job openings:
Sr Integration Engineer

Sr Integration Engineer

Tires Les Schwab

Bend, OR • On-site

$109K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Job Description:

POSITION SUMMARY:


The Senior Integration Engineer on the Platform Products & Services (PPS) team is responsible for the full lifecycle of core data integration platform products and services. This includes designing, developing, testing, maintaining, and troubleshooting data integration and Electronic Data Interchange (EDI) solutions that are reliable, scalable, and secure. This role plays a key part in supporting company growth and improving productivity by delivering strategic integration capabilities-utilizing platforms such as Boomi and Sterling Commerce EDI-to ensure data flows reliably and accurately between operational and analytical systems. The engineer will work closely with the Business Products & Services (BPS) teams to gather requirements, align on technical integration solutions, and deliver foundational data pipelines and EDI transactions that meet business objectives within scope and deadlines.


This role is within the Information and Digital Services organization at Les Schwab headquarters in Bend, OR.


Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship.


PRIMARY RESPONSIBILITIES:


30% - Solution Development Developing and configuring middleware components involves hands-on work with enterprise integration platforms to build reliable data pipelines. According to the sources, this includes:

  • Building Seamless Integrations: Designing, developing, and implementing data solutions primarily using integration platform tools, cloud hosting tools, event management tools/triggers, AI platforms, and API gateways
  • Cross-Functional Collaboration: Working closely with business partners and cross-functional teams to gather business requirements, translate them into technical specifications, and prioritize the product backlog for foundational technology
  • Quality Assurance: Conducting code reviews and ensuring software quality through rigorous testing and debugging
  • Product Ownership: Driving a product ownership culture where the engineer takes accountability for the foundational services they build, utilizing appropriate management tools to meet the company's business needs

25% - Operational Excellence & Service Delivery

  • Provide technical support and maintenance for existing integrations. Collaborate cross-functionally to analyze logs, debug code (e.g., JavaScript, APIs), analyze message formats, and resolve complex incidents, analyze root causes, and manage problems proactively using tools like ServiceNow or Jira
  • Master Agile methodologies and robust service management frameworks (e.g., ITIL). Act as a clear, constructive communicator with supervisors and stakeholders to ensure a seamless customer experience
  • Establish, monitor, and report on service level agreements and key performance indicators to ensure the operational health of foundational products. Utilize cloud-based logging and platform monitoring tools to maintain full visibility across the integration ecosystem
  • Drive process optimization by automating repetitive tasks, proactively suggesting service enhancements, and thoroughly documenting and sharing solutions via documentation platforms
  • Maintain a current understanding of emerging trends, industry best practices, and operations in data engineering, products and integrations to continuously evolve the company's foundational technology

20% - Solution Architecture, Governance & Strategy

  • Provide insight and help champion the vision, strategy, and roadmap for core data integration platforms (e.g., Boomi, Sterling Commerce EDI, and AWS/Snowflake technologies) to ensure they effectively support BPS teams' data delivery needs
  • Define and architect scalable integration solutions and API-led connectivity, ensuring alignment with the Les Schwab Enterprise Architecture framework and modern integration patterns
  • Evaluate architectural options for addressing business needs through foundational technology improvements
  • Define, document, and govern standards, policies, and development guidelines for implementing data integration and EDI solutions across federated developer teams
  • Ensure documentation of enterprise artifacts related to platform products and assist Enterprise Architecture in artifact management
  • Champion a culture of security and compliance as a core feature of all foundational products, ensuring adherence to cybersecurity policies and regulatory requirements

15% - Team Collaboration & Self-Improvement

  • Actively participate in team discussions, contribute to a collaborative environment, and share knowledge with other team members
  • Pursue professional development, continuing education, approved training, and certifications to enhance expertise in product management, software development, and integration technologies

10% - Mentoring

  • Mentor and provide guidance to junior team members on product-centric approaches and technical best practices

MINIMUM REQUIREMENTS:


Educational/Experience Requirements:

  • Four-year college degree in Computer Science, Information Systems, Engineering, or a related field, or an additional 2 years of technical experience
  • Minimum of 7 years' IT experience in software development, integration, platform services or data engineering with a focus on enterprise solutions

Required Technical Skills/Knowledge:

  • Exhibiting a strong breadth and depth of experience and knowledge in all areas of data integrations and implementation, with a focus on foundational automation, resiliency and quality
  • Advanced level of knowledge with the development lifecycle
  • Advanced level of experience with enterprise application integration (EAI), API management, and data integration patterns
  • Ability to resolve complex technical challenges and manage risk within a dynamic environment
  • A "systems thinking" approach to understanding the interplay between foundational platforms and business-facing applications
  • Advanced level of experience combing through logs and troubleshooting
  • Advanced level of experience in the composition of SQL
  • Advanced level of experience with performance tuning for integrations and SQL
  • Advanced level of experience with creating automated testing
  • Advanced level of experience producing written documentation such as data dictionaries, data catalogues, and integration data maps
  • Advanced level of experience with a programming language such as Python, R, JavaScript, Java C#, Go, or similar
  • Advanced level of experience working with flat file data formats including delimited files, XML, and JSON
  • Advanced level of experience using solution delivery collaboration software such as Service Now, Jira, TFS, or similar

Physical Requirements:Primarily desk position; regularly required to sit, occasionally required to stand and walk. Requires frequent and repetitive use of hands and fingers to operate computer, mouse, keyboard, and office related equipment and the ability to reach with hands and arms. Position requires lifting no more than 10 pounds on a regular basis. Specific vision abilities required by this job include close visual acuity and the ability to adjust focus. Requires the ability to communicate verbally and exchange information over the phone and in person


Work Environment:Office, non-manual work; the worker is not substantially exposed to adverse environmental conditions. Working on-call is required for this position, including but not limited to: evenings, weekends, and holidays


BENEFITS:

  • Annual profit-sharing bonus
  • Medical, dental, vision, and life insurance
  • Company-funded retirement plan - no cost to employee
  • Paid holidays
  • Paid time off
  • Hybrid arrangements available (work 1-2 days/week from home)
  • Tuition Assistance
  • Employee discount

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions/primary responsibilities. This job description is not all inclusive and is subject to change. Additional duties, responsibilities, and tasks may be assigned, as necessary. Employment remains "AT WILL" at all times.