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Ai Rag Jobs in Portland, OR (NOW HIRING)

Conduct handson technical evaluations of AI software tools, copilots, AI agents, RAG systems, and emerging AI platforms. * Assess capabilities, limitations, performance, model behavior, integration ...

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Hands-on experience building and deploying AI/GenAI applications using LLMs, RAG, AI agents, vector databases * Experience with cloud-native architectures, APIs, DevOps/MLOps, with experience ...

Hands-on experience building and deploying AI/GenAI applications using LLMs, RAG, AI agents, vector databases * Experience with cloud-native architectures, APIs, DevOps/MLOps, with experience ...

Hands-on experience building and deploying AI/GenAI applications using LLMs, RAG, AI agents, vector databases * Experience with cloud-native architectures, APIs, DevOps/MLOps, with experience ...

... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. Financial ...

... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. * Financial ...

Hands-on experience with workflow builders, prompt libraries, RAG pipelines, and AI evaluation methods. * Familiarity with AI governance frameworks and emerging AI regulation relevant to legal ...

Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures. * Experience deploying AI/ML solutions into production environments.

AI Red Team Lead Engineer

Gresham, OR · On-site

$108K - $143K/yr

Model deployment environments (APIs, plugins, agents, RAG pipelines) * Training, evaluation, and inference pipelines * Data ingestion, labeling, and governance controls * Design and execute AI ...

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Ai Rag information

See Portland, OR salary details

$33.9K

$61.8K

$88.6K

How much do ai rag jobs pay per year?

As of Aug 27, 2026, the average yearly pay for ai rag in Portland, OR is $61,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $68,900.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Portland, OR?

For Ai Rag jobs in Portland, OR, the most frequently searched job titles are:

What cities near Portland, OR are hiring for Ai Rag jobs?

Cities near Portland, OR with the most Ai Rag job openings:

AI Solution Analyst

Teledyne

Wilsonville, OR

Full-time

Re-posted 18 days ago


Teledyne Technologies rating

8.3

Company rating: 8.3 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

41st of 159 rated electronics manufacturers


Job description

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

The AI Solution Analyst plays a critical role in evaluating, testing, and validating AIrelated software tools, copilots, agents, and automation platforms for enterprise use across Teledyne. This position supports AI governance, risk assessment, technical feasibility analysis, and pilot execution to ensure AI solutions align with corporate security, compliance, and architectural standards.


As part of Teledyne's AI Transformation efforts, you will join a team of AI Adoption Leads, each specializing in a specific area of AI. Together, you will act as internal consultants, helping business units understand AI's potential and implement solutions that deliver real impact. This is a role for someone who combines deep technical knowledge with strong interpersonal and selling skills-you'll need to build trust, inspire change, and make AI happen in the business, not just track metrics.
Essential Duties & Responsibilities:

AI Tool Evaluation & Testing

  • Conduct handson technical evaluations of AI software tools, copilots, AI agents, RAG systems, and emerging AI platforms.

  • Assess capabilities, limitations, performance, model behavior, integration feasibility, and operational requirements.

  • Develop structured test plans, evaluation frameworks, and comparison matrices for consistent assessment.

  • Document findings, risks, limitations, and recommendations for technical and executive audiences.


Architecture & Integration Support

  • Analyze how candidate tools integrate with existing enterprise environments (Microsoft 365, Azure, SharePoint, onprem systems).

  • Review API functionality, identity and access requirements, logging, data flows, and security architecture.

  • Collaborate with enterprise architecture and infrastructure teams to determine technical feasibility.


Governance, Risk, and Compliance

  • Support AI governance processes, including privacy, datahandling assessments, and policy compliance.

  • Assist with documentation for compliance reviews, risk registers, and AI policy adherence.


Pilot Coordination & Vendor Interaction

  • Coordinate proofofconcept (POC) activities with vendors and internal stakeholders.

  • Create POC documentation including scope, success criteria, user testing results, and ROI analysis.

  • Provide ongoing updates to IT leadership, the AI Champions, and business units.


CrossFunctional Collaboration

  • Work with the AI Governance Committee, Cybersecurity, IT, and business units to gather requirements and evaluate use cases.

  • Serve as a technical resource during intake, review, and approval processes for AI tool requests.

  • Support training materials, knowledge sharing, and documentation to help scale internal AI adoption safely.


Qualifications & Experience:

Technical Experience

  • 3 years of experience in IT systems, software evaluation, enterprise applications, or technical analyst roles

  • Experience conducting technical evaluations of software tools or platforms

  • Solid understanding of enterprise technology fundamentals for example:

    • Microsoft 365 and Azure ecosystem

    • Microsoft Copilot, Copilot Studio, Azure AI/ML services, or similar platforms.

    • Identity & Access Management (Azure AD/Entra)

    • API integrations and data flows

    • Cloud/SaaS security concepts


AI & Data Literacy

  • Working understanding of large language models (LLMs), embeddings, RAG pipelines, and AI agent concepts (training not required, but literacy is expected)

  • Familiarity with key AI risk themes: hallucinations, bias, safety guardrails, data leakage, and model evaluation


Soft Skills

  • Strong analytical mindset and problemsolving capability

  • Excellent written documentation skills for both technical and executive audiences

  • Ability to manage multiple evaluations, pilots, and stakeholder groups simultaneously

  • Comfortable presenting findings and recommendations to leadership


Preferred Qualifications & Experience:

  • Experience with Python or PowerShell for limited proofofconcept test scripting

  • Background in regulated industries, security reviews, or governance frameworks

  • Project coordination or POC management experience

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.


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