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Ai Rag Jobs in Phoenix, AZ (NOW HIRING)

Prophecy Technologies

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Data Fabric Architect - Generative AI / RAG / Microsoft Fabric Location: Phoenix, AZ / Philadelphia, PA Competencies Must-Have: * Proven experience as a Data Architect with strong expertise in Data ...

Prophecy Technologies

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Data Fabric Architect - Generative AI / RAG / Microsoft Fabric Location: Phoenix, AZ / Philadelphia, PA Competencies Must-Have: * Proven experience as a Data Architect with strong expertise in Data ...

Lorven Technologies

AI Engineering Leader

Tempe, AZ · On-site

$98.20K - $129.30K/yr

This role i not a pure management role - the ideal candidate will actively design, build, and scale AI systems (RAG, agents, evaluation frameworks) while leading engineering initiatives and ...

Sciata

Senior AI Engineer

Phoenix, AZ · Hybrid

$103.80K - $142.50K/yr

Design, optimize, and productionize enterprise RAG architectures * Improve retrieval accuracy, classification logic, and orchestration workflows * Refactor existing monolithic AI application into ...

Diverse Lynx

Gen AI Engineer

Phoenix, AZ · On-site

$120/hr

... RAG Copilot Studio Python Power Automate eCP Product Management, AI Models, LLM's Roles ... Responsibilities Must have 3-5 years of strong experience on building GenAI projects using custom ...

Tech One IT

Agentic AI Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

... Generation (RAG) architectures and vector databases Work with cloud platforms such as AWS, Azure, or GCP for AI deployment and MLOps Collaborate with business stakeholders, product teams, and ...

Computer Task Group, Inc

Agentic AI Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Design and implement agentic AI systems, including prompt engineering, tool orchestration, RAG pipelines, and reasoning workflows * Build end-to-end AI pipelines (data ingestion, embeddings, model ...

Computer Task Group, Inc

Agentic AI Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Design and implement agentic AI systems, including prompt engineering, tool orchestration, RAG pipelines, and reasoning workflows * Build end-to-end AI pipelines (data ingestion, embeddings, model ...

ClifyX

AI Prompt Engineer

Chandler, AZ · On-site

Hands-on experience with RAG architectures and vector search technologies. * Strong knowledge of tokenization, context windows, and inference latency tradeoffs. * Proficiency in Python for AI ...

Diverse Lynx

Gen AI Engineer

Phoenix, AZ · On-site

$120/hr

Gen AI Engineer with Power Automate Location:- Phoenix, Az(Onsite) Duration: Full Time Pay Rate: $120-140k per annum Must Have Technical/Functional Skills • GenAI projects with custom RAG, • ...

Advantest

AI Application Engineer

Chandler, AZ · On-site

You will stay current with advances in AI/ML (e.g., LLMs, RAG, agent workflows) and drive internal and external enablement through workshops and training. Technical Environment You will work in a ...

AceStack LLC

AI Prompt Engineer

Chandler, AZ · On-site

... with RAG architectures and vector search technologies. • Strong knowledge of tokenization, context windows, and inference latency tradeoffs. • Proficiency in Python for AI integration and ...

Pyramid Consulting, Inc.

AI Evangelist

Phoenix, AZ · On-site

$55 - $60/hr

Hands-on experience with large language models (LLMs), retrieval-augmented generation (RAG), prompt ... Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Client Vertex AI). * Background in ...

Dlapiper

AI Solutions Engineer

Phoenix, AZ · Hybrid

Summary The AI Solutions Engineer is an embedded partner to the Professional Excellence (PE ... Understanding of ML models, ability to select the correct models and solution patterns, various RAG ...

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$31.8K

$57.8K

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How much do ai rag jobs pay per year?

As of May 28, 2026, the average yearly pay for ai rag in Phoenix, AZ is $57,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $64,500.00 per year, depending on experience, location, and employer.

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

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 some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 are AI RAGs?

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 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 Phoenix, AZ? For Ai Rag jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Phoenix, AZ look for? The top searched job categories for Ai Rag jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Ai Rag jobs? Cities near Phoenix, AZ with the most Ai Rag job openings:
Ai Rag jobs near you

Data Fabric Architect

Prophecy Technologies

Phoenix, AZ • On-site

$63.25 - $81.50/hr

Full-time

Posted 23 days ago

Job description

Role: Data Fabric Architect - Generative AI / RAG / Microsoft Fabric
Location: Phoenix, AZ / Philadelphia, PA
Competencies
Must-Have:
  • Proven experience as a Data Architect with strong expertise in Data Fabric frameworks
  • Hands-on experience with Microsoft Fabric Notebooks for data integration, orchestration, and analytics
  • Deep understanding of Generative AI architectures and Retrieval-Augmented Generation (RAG) pipelines
  • Strong background in data modeling, semantic layers, and metadata management
  • Proficiency in Python, SQL, and data engineering tools for building and optimizing data pipelines
  • Knowledge of Azure Data Platform components (Synapse, Data Factory, Data Lake, Power BI, etc.)
  • Ability to design end-to-end AI-driven data architectures integrating structured and unstructured data sources

Good-to-Have:
  • Experience implementing LLM-based solutions for data retrieval, summarization, and knowledge extraction
  • Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS) for RAG-enabled systems
  • Exposure to AI orchestration frameworks such as LangChain or Semantic Kernel
  • Strong understanding of data security, governance, and lineage in enterprise environments
  • Excellent collaboration and communication skills to engage with data science, AI, and business teams

Responsibilities
  • Design and implement Data Fabric architecture supporting Generative AI and RAG workflows
  • Develop Fabric Notebook solutions for data integration, analysis, and orchestration
  • Architect and optimize data pipelines to serve AI/ML workloads efficiently
  • Collaborate with data scientists and ML engineers to integrate RAG-based systems into enterprise platforms
  • Build and manage knowledge retrieval layers leveraging vector databases and embeddings
  • Define standards for data governance, quality, and observability across the AI data ecosystem
  • Ensure scalability, security, and performance of AI-driven data solutions in Azure environments
  • Stay current with emerging GenAI tools and frameworks to continuously evolve architecture strategies

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