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Ai Application Developer Jobs in Oregon (NOW HIRING)

The Data Application Developer designs, builds, deploys, and supports full-stack enterprise applications that use Databricks as the core data, analytics, AI, and workflow execution platform. This ...

$100K - $170K/yr

Overview We're looking for a mobile engineer to build and extend the React Native application for LIGER, an enterprise AI platform that connects knowledge, systems, and agentic workflows to ...

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Serves as subject matter expert on software and application development issues, to include ...

Engage with developer communities and ecosystem partners to demonstrate how Intel technologies support practical, performant, and scalable AI application development. What We are Looking For * Strong ...

Engage with developer communities and ecosystem partners todemonstratehow Intel technologies support practical, performant, and scalable AI application development. What Weare Looking For * Strong ...

The AI Solutions Engineer also ensures solutions are developed in accordance with applicable ... Develop reusable application components, services, and technical patterns to support AI ...

$134K - $180K/yr

AI Application Architecture & Engineering. Architect, build, deploy, and operate full-stack internal AI applications that incorporate agents, trusted business data, workflow automation, and human ...

New

OR · On-site

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 ...

Senior AI Identity Platform Engineer

OR · Remote

$104K - $143K/yr

... secure AI application development. * Automate identity provisioning, credential lifecycle management, and authorization policies. * Improve developer productivity through standardized identity ...

OR · Hybrid

$125K - $153K/yr

You will develop technical documentation, be part of our DevOps maintenance crew and peer review ... AI Agents produced Onboard, mentor and coach Junior - Intermediate application engineers and your ...

... application architectures. * Hands-on experience with AI concepts and technologies including Retrieval-Augmented Generation (RAG), AI Agents / Agentic AI, prompt engineering, vector databases and ...

OR · On-site

You will also lead the adoption of modern engineering practices, AI-enabled development, and application simplification to improve speed, efficiency, and value realization. Key Responsibilities ...

Software Engineer II, AI Foundations

OR · On-site +1

$97K - $133K/yr

Develop a deep understanding of AI application development patterns and techniques, including ... Work directly with our developer community to debug issues that need expert attention and get ...

OR · On-site

... around Zero Trust and AI application security. * Driving PIO via Next-Gen Architectures ... Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Develop full-stack AI application components, including APIs, backend services, and front-end interfaces. * Collaborate with data scientists and ML engineers to productionize machine learning models.

OR · On-site

$58.75 - $78.50/hr

The kind of person who is excited by emerging technology trends, especially AI security risks and ... documentation, developer playbooks, and secure coding training materials so that compliance ...

Experience performing manual application security testing beyond automated scanning * Strong ... Scripting or programming experience in Python, JavaScript Go, Java, or similar languages

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Ai Application Developer information

See Oregon salary details

$18

$55

$89

How much do ai application developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ai application developer in Oregon is $55.65, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $64.04 per hour, depending on experience, location, and employer.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Oregon? For Ai Application Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Ai Application Developer jobs in Oregon look for? The top searched job categories for Ai Application Developer jobs in Oregon are:
What cities in Oregon are hiring for Ai Application Developer jobs? Cities in Oregon with the most Ai Application Developer job openings:
Infographic showing various Ai Application Developer job openings in Oregon as of August 2026, with employment types broken down into 65% Full Time, 30% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $115,762 per year, or $55.7 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Job description

Overview

Sonny's Enterprises is the world's largest manufacturer of conveyorized car wash equipment, parts, and supplies. We are the industry leader, recognized and awarded by the International Car Wash Association for innovating new technologies to advance the industry with products proudly designed and built in the USA. Our culture thrives on finding new and better ways to accelerate what's next. We embrace change and the opportunity it produces to maximize the potential of our most valuable resource - our PEOPLE! We invite you to explore our opportunities and grow your career with us.

The Data Application Developer designs, builds, deploys, and supports full-stack enterprise applications that use Databricks as the core data, analytics, AI, and workflow execution platform. This role turns governed lakehouse data, SQL assets, forecasting outputs, model results, business rules, and workflow triggers into usable applications for reporting, forecasting, planning, operational control, and business process execution. The role also integrates these applications with enterprise systems such as SAP S/4HANA, SAP ECC, SAP Business One, Salesforce, Power BI, Azure services, and other business platforms where application workflows require trusted data, analytics, write-back, automation, or process execution.

This is an end-to-end application delivery role. The person must be able to work from business requirements through UI/UX, application logic, Databricks integration, security, deployment, testing, adoption, support, and iterative enhancement. This role is also responsible for helping hire, coordinate, and manage additional offshore application development support resources to scale capability and delivery.

Responsibilities

Design build, deploy, and support end-to-end enterprise applications on Databricks and Azure, including frontend UX, backend logic, data access, APIs, workflow triggers, monitoring, and release management. Build Databricks-native or Databricks-integrated applications using Unity Catalog-governed data, Databricks SQL, dashboards, model outputs, Lakeflow Jobs, notebooks, APIs, and AI services. Develop business applications for reporting, forecasting, planning, operational workflows, approvals, exception handling, data quality remediation, and process automation. Create user interfaces for planning inputs, forecast overrides, commentary, scenarios, approvals, business rules, control checks, and operational decision support. Integrate applications with Azure services, Microsoft Entra ID, Azure DevOps CI/CD, REST APIs, Power BI or embedded analytics, workflow automation tools, and enterprise security standards. Partner with Data Engineering, BI, analytics, and business teams to align application requirements, governed data products, KPI definitions, write-back patterns, semantic logic, and audit needs. Implement secure write-back and input-management patterns with validation, approval status, user attribution, versioning, auditability, and traceability. Develop reusable components, templates, documentation, deployment patterns, and standards for enterprise Databricks application delivery. Support production applications through troubleshooting, performance tuning, enhancement intake, defect resolution, usage monitoring, release management, and adoption improvements. Build and manage offshore application development support, including work intake, technical direction, delivery standards, code review, backlog execution, quality control, and production support

Example Application Domains Forecasting and planning applications for demand, revenue, margin, inventory, delivery timing, cash flow, budget inputs, and scenario analysis. Pricing and commercial application for margin review, discount governance, rebate tracking, cost-to-serve, price impact, and customer profitability. Inventory application for perpetual inventory, cycle counts, stock movements, variance review, replenishment, stockout risk, and excess inventory. Operational control application for open orders, late deliveries, purchasing follow-up, billing validation, freight review, and site performance. Master data and governance application for customer, material, vendor, pricing, product hierarchy, location, financial master data, approvals, exceptions, and audit tracking.

Qualifications

5+ years of experience in full-stack application development, enterprise internal tools, data application development, analytics application delivery, or related software engineering roles. Strong hands-on development experience with Python and either JavaScript or TypeScript for production application delivery. Experience building applications that consume governed data assets, SQL endpoints, APIs, authentication services, workflow engines, and enterprise deployment pipelines. Experience developing applications on or around Databricks, Azure Databricks, data warehouses, lakehouse platforms, analytics platforms, or cloud-native data application environments. Ability to design usable business workflows, input forms, review screens, planning interfaces, reporting experiences, and operational decision-support tools. Strong SQL skills and ability to understand governed data models, KPI logic, reporting requirements, and source-to-output traceability. Experience with secure application patterns, role-based access, authentication, auditability, error handling, logging, testing, deployment, and production support. Ability to work directly with business users and technical teams to convert ambiguous process needs into practical, supportable applications.

Preferred Qualifications Experience with Databricks Apps, Databricks SQL, Unity Catalog, Databricks Workflows or Lakeflow Jobs, MLflow or Mosaic AI outputs, SQL warehouses, and Databricks workspace development patterns. Experience with Azure DevOps, Microsoft Entra ID, Azure Functions, Azure App Service, Azure API Management, Azure Storage, Key Vault, or related Azure application services. Experience supporting forecasting, planning, budgeting, operational reporting, workflow automation, or AI-assisted business applications in manufacturing, distribution, finance, supply chain, sales, or service environments. Experience integrating Power BI, embedded analytics, semantic models, dashboards, application interfaces, and governed reporting outputs. Experience with secure write-back patterns, approval workflows, audit tables, configuration-driven applications, and enterprise change-control processes. Exposure to AI/BI, conversational analytics, retrieval-augmented generation, model serving, recommendations, or AI assistant patterns is a plus.

Primary TechnologiesDatabricks, Databricks Apps, SQL, Unity Catalog, Lakeflow, Python, JavaScript / TypeScript, SQL, REST APIs, Azure DevOps

We offer 100% employer paid medical plan. Other optional benefit programs are available to our employees and their families which include: 401(k) match, additional medical plans, dental, vision, flex spending account, short-term and long-term disability & life insurance coverage.

Employment Type: OTHER