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Ai Integration Engineer Jobs in Oregon (NOW HIRING)

Integration Engineer 1

Portland, OR · On-site

$85 - $105/hr

No The Integration Engineer 1 supports Sightline's rapid-response and technical investigation ... Experience with embedded systems, computer vision, video processing, networking, APIs, or AI/ML is ...

Integration Engineer

Beaverton, OR · On-site

$75.20 - $103.40/hr

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... The Process Integration Team is seeking an Integration Engineer to join a collaborative and highly ...

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... The Process Integration Team is seeking an Integration Engineer to join a collaborative and highly ...

Integration Engineer

Beaverton, OR · On-site

$75K - $103K/yr

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... The Process Integration Team is seeking an Integration Engineer to join a collaborative and highly ...

Sr Integration Engineer

Bend, OR · On-site

$120 - $150/hr

... management, AI platforms, and API gateways. * Collaborate with business partners, translate ... integration, platform services, or data engineering focused on enterprise solutions. * Strong ...

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 ...

Experience building AI agents Where We Work This position is open to applicants who can work in (or ... engineering and electrical engineering, accounting, sales & marketing, IT and more--both within our ...

Posted today

The Systems Engineering team is responsible for defining functional requirements to satisfy user ... Experience building AI agents #LI-RR1 #LI-Hybrid Where We Work This position is open to applicants ...

New

Forward Deployed AI Engineer

OR · On-site +1

$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 ...

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 ...

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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 Aug 24, 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 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 Oregon?

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

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 62% Full Time, 22% Part Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,394 per year, or $63.2 per hour.

Integration Engineer 1

Sightline Intelligence

Portland, OR • On-site

$85 - $105/hr

Other

Posted 12 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Portland, OR, US

5 days ago Requisition ID: 1051

Salary Range: $85,000.00 To $105,000.00 Annually

Job Title: Integrations Engineer 1

Department: Software Engineering

Reports To: US Integrations Team Lead

FLSA Status: Exempt, Salary, Full-Time

Travel: Minimal, less than 10% domestic travel

Supervisory Level: No

Job Description

The Integration Engineer 1 supports Sightline’s rapid-response and technical investigation efforts across customer integrations, defense opportunities, prospective technology partners, and new products. This is a hands‑on, entry-level engineering role focused on technical research, problem solving, prototyping, testing, and implementation.

Working under the direction of the Integrations Engineer – USA Team Lead, this role investigates technical questions and develops solutions that enable the lead and other internal stakeholders to respond quickly to customer and business needs.

  • Rapid Response (~30%) – Investigate customer‑reported technical issues and integration requirements provided by the team lead; reproduce problems, research solutions, and develop and test potential fixes or integrations.
  • Defense Opportunities & RFPs (~25%) – Review vetted technical requirements and RFPs, investigate feasibility, identify technical gaps, and support prototypes, demonstrations, and technical responses.
  • Partner Investigation (~20%) – Evaluate prospective technology partners, APIs, SDKs, hardware, and integration approaches; document findings and develop proof‑of‑concept integrations as needed.
  • Product Investigation (~20%) – Research and test new technologies and products that may complement or extend Sightline capabilities; evaluate technical fit, limitations, and integration requirements.
  • Software Engineering Support (~5%) – Provide development, testing, debugging, and other engineering support as team priorities require.
  • Clearly document technical findings, recommendations, and test results for internal stakeholders.
  • Collaborate with engineering, product, sales, technical support, and other internal teams as needed.
  • Other duties as assigned.
Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
  • Entry‑level to 2 years of relevant professional, internship, academic, or project experience.
  • Must have working knowledge of C/C++ and Python.
  • Familiarity with Linux and software development/debugging fundamentals.
  • Ability to quickly learn and evaluate unfamiliar technologies, APIs, hardware, and software systems.
  • Strong analytical, troubleshooting, research, documentation, and communication skills.
  • Comfortable moving between multiple technical projects and changing priorities.
  • Experience with embedded systems, computer vision, video processing, networking, APIs, or AI/ML is beneficial but not required.
  • Must be authorized to work in the United States on a full‑time basis.

This job description may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required to do this job.

Competencies:

To perform the job successfully, an individual should demonstrate the following competencies:

Apply Expertise in Technology

Complies with policies on acceptable use of technology; Applies knowledge of computer skills to perform the job successfully; Displays the ability to learn new computer skills.

Strategic Thinking

Develops strategies to achieve organizational goals. Understands organizations’ strengths and weaknesses. Analyzes market and competition to identify external threats and opportunities. Adapts strategy to changing conditions.

Prioritizes and plans work activities; Uses time efficiently; Plans for additional resources; Sets goals and objectives; Organizes or schedules other people and their tasks; Develops realistic action plans. Business Acumen

Ability to connect people with strategies for operational and financial outcomes.

Learn & Research

Demonstrates the understanding of newly presented information and retention for future applications.

Math Skills

Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.

Reliability

Good attendance; Balances professional and personal commitments effectively; Delivers work product on time and within the assigned parameters of the task.

Awareness to think and act in intercultural environments appropriately; Respecting the diverse backgrounds of the people around them.

Gives & Receives Feedback

Articulates positive and constructive feedback appropriately; Gives recognition to a job well done; Upholds accountability; Accepts feedback from all employees.

Works effectively within a team; Shares information and acknowledges others’ efforts; Helps others when workloads are high; Keeps team and supervisor information of tasks.

Analytical

Synthetizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data

Generates creative and original ideas of approaches; Seeks to improve performance; Proactive to identify and create new opportunities.

Physical Demands:

This role requires standing, walking, and sitting for extended periods; communicating in person and by phone; using hands to operate objects or controls; and reaching with hands and arms. Occasional stooping, kneeling, bending, crouching, and lifting up to 25 pounds may be required. Close and distance vision, depth perception, color vision, and focus adjustment are also needed. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Work is performed primarily at a desk using standard office equipment in a quiet, casual environment that encourages open communication, teamwork, mutual respect, and alignment with the organization’s mission, values, and goals.

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