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Remote Ai Implementation Jobs in Portland, OR (NOW HIRING)

Honor

Staff Data Scientist

Portland, OR · Remote

Design and implement robust frameworks and metrics to measure whether data products are functioning ... Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for ...

Deloitte

Epic Research & Genomics Analyst

Portland, OR · On-site +1

Work the implementation team to plan and complete build, implement end-to-end Epic. Work command ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

Sargent & Lundy

Lead Power Systems Engineer 2

Portland, OR · On-site +1

$134K - $205K/yr

Develop and implement innovative solutions to optimize system performance and mitigate risks ... AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to lead ...

Cisco

Data Planner, Global Customer Events

Portland, OR · On-site +1

$96K - $121K/yr

This remote role is open to US based candidates and no relocation benefits are available. Meet the ... Your Impact Design and implement robust data collection strategies for a diverse global event ...

Deloitte

IT Organizational Change Manager

Portland, OR · On-site +1

The OCIO leads the development and implementation for technology strategy at Deloitte and drives ... AI, Cloud, and Cyber. Recruiting for this role ends on October 31, 2026 Work you'll do : The OCM ...

Later

Senior Security Engineer

Vancouver, WA · Remote

$119K - $164K/yr

Built on a native, AI-powered platform and more than a decade of proprietary data--including ... Senior Security Engineer Remote, United States About this position: We\'re looking for a Senior ...

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Showing results 21-40

All JobsAi Implementation JobsRemote Ai Implementation JobsRemote Ai Implementation Jobs in Portland, OR

Remote Ai Implementation information

See Portland, OR salary details

$28

$54

$85

How much do remote ai implementation jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote ai implementation in Portland, OR is $54.52, according to ZipRecruiter salary data. Most workers in this role earn between $40.77 and $64.76 per hour, depending on experience, location, and employer.

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.
What are popular job titles related to Remote Ai Implementation jobs in Portland, OR? For Remote Ai Implementation jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Ai Implementation jobs in Portland, OR look for? The top searched job categories for Remote Ai Implementation jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Ai Implementation jobs? Cities near Portland, OR with the most Remote Ai Implementation job openings:
Remote Ai Implementation jobs near you
Infographic showing various Remote Ai Implementation job openings in Portland, OR as of July 2026, with employment types broken down into 69% Full Time, 21% Part Time, and 10% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $113,397 per year, or $54.5 per hour.

Staff Data Scientist

Honor

Portland, OR • Remote

Full-time

Re-posted 11 days ago

Job description

Honor Technology's mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor's growing portfolio includes its consumer care brand, Home Instead, Inc., the world's leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.

Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.

About the role:

We're looking for Data Scientists to join our team. In this role, you will serve as a versatile generalist data scientist who can help guide our company's adoption of agentic AI development.

As we rapidly integrate new technologies into our platform, practical applied experience in the AI space is a baseline requirement for our team. Building on that foundation, we are looking for a candidate who brings expertise in either Agentic AI OR Optimization Algorithms.

About the work:

  • Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity.
  • Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it.
  • Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact.
  • Research operational/logistical problems and proactively identify potential solutions.
  • Lead the design, implementation, and evaluation of descriptive and predictive models.
  • Champion the use of LLM-driven workflows across the company. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity.

About you:

  • 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment.
  • You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs.
  • Deep professional expertise in at least one of the following two areas:
    • Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting.
    • Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use). You have concrete experience building agentic workflows that drive business impact.
  • You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals.
  • Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
  • You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes.
  • You rapidly iterate and deliver technical solutions that maximize business impact.
  • Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders.

You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies.

Bonus points if you have professional experience with:

  • Experience designing experiments and applying causal inference methods to rigorously determine business impact.
  • Experience developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting).
  • Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines.
  • Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment.

Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.


Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match.
We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.

Hiring Salary Range
$194,400—$216,000 USD

At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.

Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.