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Remote Ai Automation Jobs in Oregon (NOW HIRING)

About the Role We are seeking a hands-on AI & Automation Engineer to design, build, and optimize ... Remote

Senior AI Automation Engineer

OR · Remote

$103K - $136K/yr

About the Role We are seeking a hands-on AI & Automation Engineer to design, build, and optimize ... Remote

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

This is a remote opportunity and we are looking for candidates from the U.S ... The Opportunity Grafana Labs is seeking a Senior Engineer (AI & Automation) to own the AI agent ...

This is a remote opportunity and we are looking for candidates from the U.S ... The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent ...

United States - Remote Other Considerations: U.S. Citizen or Permanent Resident Required with the ... Working under the direction of the Automation and AI Enablement Lead, in coordination with the ...

Lead Automation Engineer

OR · Remote

$80K - $130K/yr

Develop AI agents on the Anthropic API using MCP servers (Python and TypeScript) that safely ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

United States - Remote Other Considerations: U.S. Citizen or Permanent Resident Required with the ... on AI agents * 1+ years of using AI coding assistants to develop scripts and apps (Claude Code ...

Identify automation and AI opportunities to improve recruiting outcomes. * Partner with TA, HRIS, H ... Arizona, United States (Remote), Austin, Texas, United States (Remote), Oregon, United States ...

This includes finding additional automation opportunities that can provide even more value! To do ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Revenue Operations Lead - 100% Remote

OR · On-site +1

$140K - $170K/yr

AI & Automation - Demonstrated experience building AI agents or workflows using Claude, ChatGPT, or ... We're a lean, fully remote team of around 50 people in the middle of an ambitious chapter: evolving ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Principal Software Engineer

OR · Remote

$126K - $169K/yr

Location This is a remote postion open to candidates based anywhere in the US. The Main ... Design architectures that incorporate intelligent agents, automation capabilities, and AI-assisted ...

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Remote Ai Automation information

What is the difference between Remote Ai Automation vs Data Analyst?

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Remote AI Automation Specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What is a Remote AI Automation job?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.
What are the most commonly searched types of Ai Automation jobs in Oregon? The most popular types of Ai Automation jobs in Oregon are:
What job categories do people searching Remote Ai Automation jobs in Oregon look for? The top searched job categories for Remote Ai Automation jobs in Oregon are:
What cities in Oregon are hiring for Remote Ai Automation jobs? Cities in Oregon with the most Remote Ai Automation job openings:
Infographic showing various Remote Ai Automation job openings in Oregon as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

AI Automation Engineer

Tebra

OR • Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

About the Role

We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and AI-driven workflows that power our enterprise data and business operations. You'll own the Workato automation stack, develop resilient data pipelines between core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement AI-enabled capabilities that reduce manual work and accelerate insights.

This role requires deep technical execution skills in integration development, data modeling, and programming, combined with a practical understanding of AI workflows. You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions - delivering measurable improvements in data accessibility, system efficiency, and operational performance.

Your Area of Focus

Integration & Automation Development

    • Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.
    • Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.

Agentic System Design

    • Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints.
    • Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources.
    • Build guardrails, fallbacks and error recovery for non-deterministic workflows.

Data/RAG Pipeline Design & Management

    • Develop and automate ELT/ETL processes to support both BI Analytics and AI retrieval across similar datasets with different access patterns.
    • Build evaluation into every pipeline to ensure high quality results considering precision, answer faithfulness, latency and cost.
    • Own retrieval end-to-end including ingestion, chunking strategy, embeddings, vector storage and reranking as one connected system.
    • Implement data enrichment, quality checks, and architectural safeguards to maintain trusted datasets.
  • AI Operations
    • Production observability: prompt/response tracing, cost monitoring, eval dashboards.
    • Document agent behavior, decision logic and failure modes.
    • A/B testing agent versions, model comparisons.

Programming for Automation

    • Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.

Governance & Documentation

    • Apply data governance practices for lineage, security, and retention.
    • Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.
Your Professional Qualifications
  • 2-5 years of experience in integration, automation, AI, software or data engineering, with 1+ year hands-on in Workato.
  • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
  • Proficiency in designing and implementing integrations across Salesforce, NetSuite, Slack, and Snowflake.
  • Hands-on technical background in ETL/ELT, Reverse-ETL, data modeling, SQL/T-SQL, and programming (Python, Ruby, or similar).
  • Experience using vector databases such as Pinecone, Snowflake Cortex Search and pgvector.
  • Experience with AI/ML concepts and implementing AI workflows in enterprise environments.
  • Hands-on experience leveraging APIs and programming languages to build and maintain scalable enterprise integrations.
  • Experience with Cloud Platforms such as GCP or AWS preferred.
  • Hands-on experience using APIs and programming languages to build and maintain scalable enterprise integrations.
  • Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
  • Strong problem-solving, critical thinking, and ability to execute under minimal supervision.
  • Proficiency with Snowflake, Salesforce, and NetSuite, with strong architectural and automation design skills preferred.
  • Motivated to learn new technologies and develop new skills.
  • Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
  • Workato Automation Pro or SnowPro certifications preferred.

(For Recruiter use only) #LI-SS1 #LI-Remote