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Ai Integration Engineer Jobs in Oregon (NOW HIRING)

Integration Architect

OR · Remote

$70.75 - $91.25/hr

... integration engineering or architecture. Experience supporting large-scale federal healthcare or enterprise EHR modernization programs. Demonstrated ability to critically evaluate AI-generated ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

New

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 ...

Collaborate with AI architects and engineering teams to integrate LLMs, RAG pipelines, vector databases, and agentic AI solutions into enterprise applications. * Support deployment of AI services ...

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 ...

OR · On-site

... engineering, clinical, and commercial organizations. * Identify strategic collaboration ... AI applications and workflow orchestration; Enterprise imaging integration Workflow & Technology ...

OR · On-site

$122K - $161K/yr

Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a ... Collaborate with Product, Cloud, and other engineering teams to align integration work with broader ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools * Implement data pipelines and feature engineering processes to support reliable model ...

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools * Implement data pipelines and feature engineering processes to support reliable model ...

OR · On-site

$55.75 - $74.50/hr

As developers and AI agents build faster than ever, enterprises need a new level of control ... Cloud AI Secure Integration: Advise enterprises on how to safely harness and secure Cloud AI and ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools • Implement data pipelines and feature engineering processes to support reliable ...

The AIEnabled Full Stack Developer plays a critical role in designing, developing, and maintaining ... Integrate AI services and capabilities into applications, including LLM APIs, AI agents ...

OR · On-site

$104K - $143K/yr

This is a hybrid role: part platform engineer, part internal-facing integration lead. You'll report to the COO and partner across AI Operations, R&D, Data Science, GTM, and other teams, owning the ...

AI Integration: Assist in implementing and testing agentic workflows and advanced RAG (Retrieval ... Solid programming foundation with experience in backend development, specifically C# and .NET.

AI & Automation Engineer

Portland, OR · On-site

$90K - $120K/yr

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Azure AI services, cognitive services). * Programming Skills: Proficiency in at least one ...

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Azure AI services, cognitive services). Programming Skills: Proficiency in at least one programming ...

OR

$103K - $139K/yr

As a Senior Software Engineer on nCino's Integration Gateway team, you'll lead planning, design ... You'll be a Python and JavaScript expert who applies cutting-edge AI capabilities to software ...

OR · On-site

Integrates Secure MLOps / MLSecOps controls into AI delivery pipelines, including secure model ... Bachelor's degree in Computer Science, Cybersecurity, Engineering, Data Science, or related field ...

Showing results 21-40

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 Aug 9, 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 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.

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.

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 Oregon? For Ai Integration Engineer jobs in Oregon, the most frequently searched job titles are:
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What cities in Oregon are hiring for Ai Integration Engineer jobs? Cities in Oregon with the most Ai Integration Engineer job openings:
Infographic showing various Ai Integration Engineer job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $131,394 per year, or $63.2 per hour.

Integration Architect

LTS

OR • Remote

$70.75 - $91.25/hr

Full-time

Re-posted 26 days ago


Job description

Location: Remote (U.S.)
Clearance: Ability to obtain and maintain a Public Trust
Salary Range: 160K - 185K

LTS is seeking an experienced Integration Architect to support a major AI-powered modernization initiative within the Department of Veterans Affairs (VA) health portfolio.

This role will support enterprise integration and interoperability efforts tied to modernization of legacy healthcare systems, including VistA/MUMPS-based applications, enterprise health platforms, and next-generation clinical and operational systems.
The ideal candidate will possess strong experience designing and implementing enterprise integration solutions across complex healthcare and federal IT environments. This individual will play a critical role in enabling secure, scalable, and interoperable data exchange between legacy and modernized platforms while supporting the VA's broader digital transformation objectives.

What You'll Do: 

Lead the design and implementation of enterprise integration architecture supporting VA modernization initiatives.
Develop integration strategies connecting legacy VistA/MUMPS systems with modern cloud-based and enterprise applications.
Critically evaluate AI-generated interface maps, dependency diagrams, data flow analyses, and business rules extractions for accuracy and completeness against actual VistA data structures and integration patterns, identifying gaps or errors before outputs are used in integration design. Experience supporting VA healthcare systems including VistA, CPRS, or VA EHR modernization efforts.
Architect APIs, middleware, messaging, and data exchange solutions across enterprise healthcare systems.
Support interoperability initiatives utilizing healthcare standards including HL7, FHIR, and RESTful APIs.
Design scalable integration frameworks supporting real-time and batch processing requirements.
Collaborate with infrastructure, cybersecurity, application development, data, and DevSecOps teams to ensure seamless system integration.
Define integration patterns, standards, governance models, and best practices across the enterprise.
Support migration and modernization efforts involving legacy healthcare applications and enterprise data platforms.
Evaluate and recommend middleware, API management, and integration platform technologies.
Ensure integration solutions align with federal cybersecurity, Zero Trust, and compliance requirements.
Participate in technical architecture reviews, modernization planning sessions, and engineering assessments.
Develop technical documentation including interface control documents (ICDs), architecture diagrams, integration specifications, and implementation plans.
Troubleshoot complex integration issues and provide technical leadership throughout the system lifecycle.

What We're Looking For:

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
10+ years of experience in enterprise integration engineering or architecture.
Experience supporting large-scale federal healthcare or enterprise EHR modernization programs.
Demonstrated ability to critically evaluate AI-generated technical outputs-including interface specifications, data mappings, and dependency analyses-for accuracy, completeness, and correctness in the context of enterprise integration requirements, and to identify and resolve errors before those outputs drive design decisions.
Hands-on experience working with VistA or MUMPS-based interfaces, including direct knowledge of how data originates, is structured, and flows within VistA environments
Strong experience with API design, middleware technologies, and enterprise integration frameworks.
Experience implementing integrations using REST, SOAP, JSON, XML, and messaging technologies.
Familiarity with healthcare interoperability standards including HL7, FHIR, CDA, and related frameworks.
Experience integrating legacy systems with modern cloud and enterprise platforms.
Knowledge of cloud integration architectures within AWS, Azure, or Google Cloud environments.
Strong understanding of data governance, security, and compliance within federal environments.
Excellent analytical, troubleshooting, and communication skills..

Nice To Have:
Familiarity with MUMPS-based applications, VistA Fileman data structures, VistA data flows and interface definitions for technical accuracy.
Experience with integration platforms such as MuleSoft, Boomi, Red Hat Integration, IBM Integration Bus, or similar technologies.
Knowledge of event-driven architecture, microservices, and containerized environments.
Experience supporting DevSecOps and CI/CD integration pipelines.
Familiarity with Zero Trust Architecture and federal cybersecurity frameworks including NIST and FedRAMP.
Experience with enterprise data integration, ETL, and master data management solutions.
Relevant certifications in cloud, integration, or enterprise architecture technologies preferred.

Why Join LTS?
At LTS, we support mission-driven programs that improve healthcare outcomes for Veterans nationwide. Our teams work at the forefront of federal healthcare modernization, helping agencies transform legacy systems into secure, scalable, and innovative digital solutions. We value collaboration, innovation, and integrity while providing employees opportunities to grow and make meaningful contributions to critical national missions.