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Ai Automation Engineer Jobs in Remote, OR (NOW HIRING)

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions. Your Impact Data Engineering & Architecture: * Lead data ...

Develop intelligent automation solutions for test case generation, defect analysis, knowledge ... Azure AI Studio * Azure DevOps * Docker * Kubernetes * SQL * Git * REST APIs * Vector Databases ...

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Develop intelligent automation solutions for test case generation, defect analysis, knowledge ...

AI Agent ML Engineer

OR · On-site

$165K - $190K/yr

Architect and develop multi-agent systems for process automation and intelligent decision-making ... in AI/ML engineering, agent development, process engineering, or related roles. * Proven track ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Architect and develop multi-agent systems for process automation and intelligent decision-making ... in AI/ML engineering, agent development, process engineering, or related roles. * Proven track ...

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Develop intelligent automation solutions for test case generation, defect analysis, knowledge ...

Value Engineer - Applied AI Location: Remote The Value Engineer - Applied AI sits at the ... of intelligent automation and decision support. * Present value insights and AI deployment ...

Value Engineer - Applied AI Location: Remote The Value Engineer - Applied AI sits at the ... of intelligent automation and decision support. * Present value insights and AI deployment ...

Drawing on deep expertise in software engineering, AI solution design, agent development, workflow automation, APIs, platform integration, and knowledge retrieval, this leader creates reusable tools ...

Strong software engineering skills with experience building integrations, APIs, automation, or backend systems * Experience working with AI systems, LLMs, AI agents, or agentic workflows * Experience ...

Lead Site Reliability Engineer

OR · Remote

$53.50 - $71/hr

The Lead SRE requires an AI-native mindset, understands the software development lifecycle (from ... This role will shape how Lumen combines the latest technologies, including AI-driven automation, to ...

Manage the installation of automation while ensuring safety, and validating the automated system ... Experience with complex multi-axis robotics solutions including AI (artificial intelligence and ...

Manage the installation of automation while ensuring safety, and validating the automated system ... Experience with complex multi-axis robotics solutions including AI (artificial intelligence and ...

Sr Lead Site Reliability Engineer

OR · Remote

$53.50 - $71/hr

The Senior Lead SRE requires an AI-native mindset, understands the software development lifecycle ... This role will shape how Lumen combines the latest technologies, including AI-driven automation, to ...

DevOps Developer

OR · On-site +1

Use AI-assisted tools responsibly to improve DevOps productivity, troubleshooting, documentation, automation, and pipeline analysis. * Identify practical use cases for AI in CI/CD, DevSecOps ...

Use AI-assisted tools responsibly to improve DevOps productivity, troubleshooting, documentation, automation, and pipeline analysis. * Identify practical use cases for AI in CI/CD, DevSecOps ...

Principal Software Development Engineer

OR · Remote

$126K - $169K/yr

Acting as the engineering authority for cross-system automation, they drive modern integration ... Strongly drive an intentional automation first approach and leverage AI daily to improve efficiency ...

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Showing results 1-20

Ai Automation Engineer information

See Remote, OR salary details

$37K

$107K

$162.8K

How much do ai automation engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai automation engineer in Remote, OR is $107,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What job categories do people searching Ai Automation Engineer jobs in Remote, OR look for? The top searched job categories for Ai Automation Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Ai Automation Engineer jobs? Cities near Remote, OR with the most Ai Automation Engineer job openings:
Infographic showing various Ai Automation Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $107,021 per year, or $51.5 per hour.

Sr. Data Analytics Engineer

Under Armour, Inc.

OR • On-site, Remote

$125K - $165K/yr

Other

Medical, Retirement

Re-posted 24 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

21st of 104 rated fashion retailers


Job description

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. 

Purpose of Role

Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions. 

Your Impact

Data Engineering & Architecture:

  • Lead data model design, semantic layer definition, and scalable ELT architecture.  
  • Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.  
  • Build high-quality analytical datasets and visualization-optimized data structures.  

Quality, CI/CD & Operational Excellence:

  • Own CI/CD deployment pipelines and release management processes.  
  • Drive engineering best practices include testing, observability, modular modeling, and documentation.  
  • Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.  
  • Lead root-cause analysis and long-term fixes for complex data issues.  

Leadership & Collaboration: 

  • Mentor junior engineers and uplift engineering maturity across squads.  
  • Facilitate stakeholder sessions to translate business requirements into scalable data products.  
  • Influence architectural decisions and emerging-technology adoption.  
  • Partners across EDMA, AI/Automation, Platform, and Governance teams.  
  • Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions. 

AI Enablement:

  • Apply Generative AI tools to streamline development workflows and enhance product quality.  
  • Contribute to the design of AI-enabled automation solutions.  
Qualifications
  • Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.  
  • Expert SQL abilities with mastery in complex data transformation patterns.  
  • Deep expertise in data modeling, ELT design, and enterprise data architecture.  
  • Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.  
  • 4+ Years of experience with Tableau or similar analytics platforms.  
  • 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.  
  • 2+ Years of experience & strong background in CI/CD engineering best practice.  
  • 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).  
  • Advanced Python for automation, orchestration, and engineering workflows.  
  • Working knowledge of automation tools (e.g., Elementum).  
  • Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.  
  • Generative AI applies responsibly to accelerate development and improve quality.  
  • Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
  • Skilled at bridging the gap between technical depth and business clarity through impactful communication. 
Workplace Location
  • Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross-functional teams)    
  • Work Schedule: Fully Remote 
  • Travel: Minimal
  • Licenses/Certifications: N/A
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

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Relocation
  • No relocation provided
Base Compensation

 $125,000.00-$165,000.00 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being
Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.


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