Conduct handson technical evaluations of AI software tools, copilots, AI agents, RAG systems, and emerging AI platforms. * Assess capabilities, limitations, performance, model behavior, integration ...
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 ...
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 ...
AI Engineer Consultant
Portland, OR · Hybrid
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 ...
AI Engineer Consultant
Portland, OR · Hybrid
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 ...
CCaaS x AI, Manager, Technical Transformation
$123K - $123K/yr
Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling ...
CCaaS x AI, Manager, Technical Transformation
$123K - $123K/yr
Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling ...
AI Engineering Manager
Camas, WA · Hybrid
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 ...
AI Engineering Manager
Camas, WA · Hybrid
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 ...
AI Engineering Manager
Camas, WA · Hybrid
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 ...
AI Engineering Manager
Camas, WA · Hybrid
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 ...
AI Engineering Manager
Gresham, OR · Hybrid
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 ...
AI Engineering Manager
Gresham, OR · Hybrid
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 ...
AI Engineering Manager
Vancouver, WA · Hybrid
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 ...
AI Engineering Manager
Vancouver, WA · Hybrid
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 ...
AI Engineering Manager
Portland, OR · Hybrid
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 ...
AI Engineering Manager
Portland, OR · Hybrid
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 ...
Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning. * Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
Quick apply
Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning. * Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
... 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 ...
AI & Automation Engineer
Portland, OR · On-site
... 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. • ...
AI & Automation Engineer
Portland, OR · On-site
... 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. • ...
AI & Automation Engineer
Portland, OR · On-site
... 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 ...
Quick apply
AI & Automation Engineer
Portland, OR · On-site
... 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 ...
AI Legal Engineer
Portland, OR · On-site
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 ...
AI Legal Engineer
Portland, OR · On-site
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 ...
Deep technical knowledgeof modern AI/ML systems (GenAI, LLMs, RAG architectures, agentic systems, classic ML, ML/LLM operations) withproven ability to prototype and buildworking solutions * Strong ...
Deep technical knowledgeof modern AI/ML systems (GenAI, LLMs, RAG architectures, agentic systems, classic ML, ML/LLM operations) withproven ability to prototype and buildworking solutions * Strong ...
Senior AI / Data Science Engineer
$115K - $156K/yr
Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures. * Experience deploying AI/ML solutions into production environments.
Senior AI / Data Science Engineer
$115K - $156K/yr
Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures. * Experience deploying AI/ML solutions into production environments.
Foundational knowledge of machine learning, generative AI, LLMs, and agentic/RAG-based systems - how they're built, validated, monitored, and where they can fail. * Basic understanding of internal ...
Foundational knowledge of machine learning, generative AI, LLMs, and agentic/RAG-based systems - how they're built, validated, monitored, and where they can fail. * Basic understanding of internal ...
Deep technical knowledge of modern AI/ML systems (GenAI, LLMs, RAG architectures, agentic systems, classic ML, ML/LLM operations) with proven ability to prototype and build working solutions * Strong ...
Deep technical knowledge of modern AI/ML systems (GenAI, LLMs, RAG architectures, agentic systems, classic ML, ML/LLM operations) with proven ability to prototype and build working solutions * Strong ...
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 ...
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 ...
Hands-on experience with LLMs, including prompt engineering, RAG (Retrieval-Augmented Generation ... Experience with Azure AI services (Azure OpenAI, Azure AI Studio, AI Foundry, etc.). * Familiarity ...
Hands-on experience with LLMs, including prompt engineering, RAG (Retrieval-Augmented Generation ... Experience with Azure AI services (Azure OpenAI, Azure AI Studio, AI Foundry, etc.). * Familiarity ...
Ai Rag information
See Portland, OR salary details
$33.9K - $38.9K
5% of jobs
$38.9K - $43.9K
5% of jobs
$43.9K - $48.8K
6% of jobs
$51.8K is the 25th percentile. Wages below this are outliers.
$48.8K - $53.8K
14% of jobs
$53.8K - $58.8K
11% of jobs
The median wage is $60.9K / yr.
$58.8K - $63.7K
21% of jobs
$68.1K is the 75th percentile. Wages above this are outliers.
$63.7K - $68.7K
15% of jobs
$68.7K - $73.7K
11% of jobs
$73.7K - $78.6K
4% of jobs
$78.6K - $83.6K
5% of jobs
$83.6K - $88.6K
3% of jobs
$33.9K
$61.8K
$88.6K
How much do ai rag jobs pay per year?
What is an AI RAG?
What are the key skills and qualifications needed to thrive as an AI researcher?
What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?
What is the difference between Ai Rag vs Data Analyst?
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
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 job categories do people searching Ai Rag jobs in Portland, OR look for?
The top searched job categories for Ai Rag jobs in Portland, OR are:
What cities near Portland, OR are hiring for Ai Rag jobs?
Cities near Portland, OR with the most Ai Rag job openings:
Teledyne Technologies rating
8.3
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.
What Teledyne Technologies employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Teledyne Technologies
Sourced by ZipRecruiter
Industry
Electrical equipment, appliance, and component manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Thousand Oaks, CA, US
Year founded
1960