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Ai Monitoring Jobs in Oregon (NOW HIRING)

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant.

Smarsh

Sr. Technical Product Manager

OR · On-site +1

$166K - $192K/yr

AI Transformation: Build the business case for ongoing investment in AI, monitoring unit economics, leading cross-functional collaboration with AI/ML engineers and delivering AI solutions. * Lead ...

Pwc

ServiceNow Deployment- Senior Associate

Portland, OR

$77K - $202K/yr

Cloud AI Ops / AI Monitoring; and, Cloud Discovery. Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

Arize AI

Senior AI Product Manager, Observability

OR · On-site +1

$200K - $250K/yr

As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Team Our team is ...

Particle41

AI Engineer

OR · On-site +1

AI Engineer Role Overview: As an AI Engineer at Particle41 you will design, develop and deploy ... Monitor models/ solutions' performance in production (drift, bias, fairness, reliability) and ...

InvoiceCloud

OR · On-site

Defines and operationalizes Monitoring, Detection & Incident Response capabilities for AI systems by implementing prompt and output telemetry, tool-call logging, anomaly detection, and AI-specific ...

Leatherman Tools

AI Governance Lead

Portland, OR · On-site

This role defines how AI should be evaluated, approved, monitored, and used across varying levels of risk-from everyday assistive tools to AI-enabled workflows that make recommendations, automate ...

Leatherman

AI Governance Lead

Portland, OR · On-site

This role defines how AI should be evaluated, approved, monitored, and used across varying levels of risk--from everyday assistive tools to AI-enabled workflows that make recommendations, automate ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Establish best practices for model deployment, monitoring, performance tuning, and lifecycle ... Ensure AI solutions meet security, privacy, and responsible AI standards * Collaborate with ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Establish best practices for model deployment, monitoring, performance tuning, and lifecycle ... Ensure AI solutions meet security, privacy, and responsible AI standards * Collaborate with ...

A-dec Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... monitoring, performance tuning, and lifecycle management • Support enterprise data governance by partnering with data owners to define data contracts and ensure data quality and consistency across ...

Deloitte

Google AI Architect

Portland, OR

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

BECU

Enterprise Risk Analyst - AI Risk

OR · On-site +1

$68K - $127K/yr

You'll play a critical role in identifying, assessing, and monitoring risks associated with AI, machine learning, generative AI, and other emerging technologies. By strengthening AI governance ...

New

Atos

Head of AI

OR · On-site +1

Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits. • Financial management and operations * * Help support the Head of Data and AI P&L ...

Delaware Nation Industries

AI Developer/Engineer

OR · On-site +1

Implement logging, monitoring, observability, and operational checks for AI-enabled systems. * Identify and address issues involving data quality, model drift, bias, hallucinations, performance ...

ConnectWise

Product Manager- AI

OR · On-site +1

Monitor product performance, adoption, and user experience, leveraging AI insights where applicable * Continuously identify opportunities to optimize workflows through AI and automation * Represent ...

LTS

Agentic AI Security Engineer

OR · On-site +1

AI Observability & Monitoring * Design monitoring capabilities that detect abnormal agent behavior, misuse, prompt manipulation, and anomalous model interactions. * Implement logging, traceability ...

PointClickCare

(Canada) AI Solutions Specialist

OR · On-site +1

Data-Driven Insights & Performance Monitoring: -Monitor AI program performance (engagement, success rates, efficiency metrics) and translate data into actionable improvements. -Instrument AI ...

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Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Ai Monitoring jobs in Oregon?

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

What job categories do people searching Ai Monitoring jobs in Oregon look for?

The top searched job categories for Ai Monitoring jobs in Oregon are:

Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Enterprise Data Architect & AI Solutions Leader

AnswerRocket

OR • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

We're seeking an experienced Enterprise Data Architect Solutions Leader to join our growing team of AI and data professionals. In this pivotal role, you'll design and implement scalable, high-performance data architectures that power cutting-edge AI solutions while leading technical teams and driving enterprise transformation. Working at the intersection of enterprise data systems and generative AI technologies, you'll help us unlock the full potential of our data assets through modern lakehouse platforms and intelligent automation

What You'll Do:

  • Lead data strategy initiatives including current state assessments, enterprise architecture design, and governance frameworks
  • Design and implement cloud-native data lakehouse platforms (Databricks, Snowflake, BigQuery) with medallion architectures
  • Build real-time and batch data pipelines using modern ETL/ELT, streaming, and orchestration technologies
  • Architect and develop generative AI solutions including RAG pipelines, multi-agent systems, and autonomous monitoring
  • Create advanced analytics and BI solutions with modern self-service platforms (Tableau, Power BI)
  • Lead technical teams, mentor data professionals, and drive innovation lab initiatives
  • Conduct client discovery sessions and translate complex technical concepts for executive audiences
  • Implement MLOps, feature stores, and AI/ML pipeline development with performance optimization
  • Establish data governance standards, quality monitoring, and observability engineering practices

What You'll Bring:

  • Bachelor's degree in Computer Science, Data Engineering, or related field (Master's preferred); or equivalent industry experience
  • 10+ years of experience in data architecture and engineering, with 5+ years in enterprise-scale systems and 3+ years in AI/ML platforms
  • Hands-on expertise with Databricks, Delta Lake, Unity Catalog, and modern data lakehouse architectures
  • Proficiency in TypeScript, Python, SQL, and cloud serverless architectures (AWS, GCP, Azure)
  • Experience building RAG pipelines, vector databases, LLM operations, and multi-model AI systems
  • Strong leadership skills with proven ability to lead technical teams and influence enterprise stakeholders
  • Hands-on problem solver with a "get it done" mindset-ready to architect solutions and write production code
  • Excellent communication skills with ability to present to C-level executives and translate business requirements
  • Proven consulting experience with enterprise clients, demonstrating strong business acumen and partnership building

What Makes You Stand Out:

  • Production experience with frameworks like LangGraph, agentic workflows, and autonomous AI monitoring systems
  • Full-stack development experience including single-page applications for data engineering solutions
  • Advanced cloud certifications (AWS/Azure/GCP Professional, Databricks) or methodology certifications (TOGAF, CDMP)
  • Experience with streaming architectures (Kafka, Spark), real-time analytics, and cost optimization (FinOps)
  • Published thought leadership, conference speaking, or contributions to open-source AI/data projects

Apply