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Salaried Rag Jobs in Phoenix, AZ (NOW HIRING)

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

... RAG), or Agentic AI concepts. • Strong analytical, problem-solving, communication, and stakeholder management skills. Base Salary Range : $90,000 to $130,000 Per Annum TCS Employee Benefits Summary:

State Farm

Lead GenAI Engineer (LLM)

Tempe, AZ · Hybrid

$98K - $129K/yr

Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems * Strong ... Potential starting salary range: $81,000 - $142,000 (Starting salary will be based on skills ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$49 - $53/hr

Phoenix, AZ Salary: $49.00 USD Hourly - $53.00 USD Hourly Description: Software Engineer, AI ... Develop agent-based solutions using modern AI frameworks, Retrieval-Augmented Generation (RAG ...

Accenture

Google Data Specialist

Scottsdale, AZ · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Employee Benefits | Accenture Role Location Annual Salary Range California $70,350 to $196,000 ...

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All JobsSalaried Rag JobsSalaried Rag Jobs in Phoenix, AZ

Salaried Rag information

See Phoenix, AZ salary details

$31.8K

$57.8K

$82.9K

How much do salaried rag jobs pay per year?

As of Aug 18, 2026, the average yearly pay for salaried 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 is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

What are the most commonly searched types of Rag jobs in Phoenix, AZ?

The most popular types of Rag jobs in Phoenix, AZ are:

What are popular job titles related to Salaried Rag jobs in Phoenix, AZ?

For Salaried Rag jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Salaried Rag jobs in Phoenix, AZ look for?

The top searched job categories for Salaried Rag jobs in Phoenix, AZ are:

Salaried Rag jobs near you

AI Engineer/Forward engineer

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$100K - $120K/yr

Full-time

Posted 5 days ago

Job description

AI Engineer/Forward engineer
Must Have Technical/Functional Skills
• Preferred Qualifications
• Experience building enterprise AI applications using OpenAI, Anthropic, Gemini, or similar LLMs.
• Hands-on experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, or comparable frameworks.
• Experience deploying production-grade AI agents and RAG solutions.
• Knowledge of AI observability, evaluation, and monitoring tools.
• Experience implementing secure, governed, and scalable AI solutions.
• Desired Competencies
• Strong problem-solving and system design skills.
• Ability to translate business requirements into AI-powered solutions.
• Excellent communication and stakeholder management skills.
• Collaborative mindset with experience working in cross-functional teams.
• Passion for emerging AI technologies and continuous learning.
Roles & Responsibilities
• We are seeking an innovative Agentic AI Engineer / Forward Deployed AI Engineer to design, develop, and deploy AI-powered applications that leverage Large Language Models (LLMs) to solve real-world business challenges. This role focuses on building intelligent agentic systems and production-grade AI solutions rather than training foundation models.
• The ideal candidate will have expertise in AI application development, prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities that automate repetitive tasks and enhance operational efficiency.
Key Responsibilities
• Agentic AI Engineering
• Design and develop autonomous AI agent workflows capable of executing multi-step business processes.
• Build AI systems around foundation models without requiring model training or pre-training.
• Develop advanced prompt engineering and context engineering strategies to improve AI performance and reliability.
• Implement tool use, function calling, and API integrations for AI agents.
• Build agent orchestration using frameworks such as LangGraph, agent loops, planners, and multi-agent architectures.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Fward Deployed AI Engineering
• Partner with business stakeholders to identify AI use cases and rapidly develop production-ready AI applications.
• Design, develop, and deploy AI-powered applications using modern LLM frameworks.
• Build scalable RAG pipelines for enterprise knowledge retrieval.
• Optimize prompts, workflows, and evaluation frameworks to improve AI solution quality.
• Develop reusable AI services, APIs, and components that can be leveraged across multiple teams.
• Integrate AI solutions with enterprise systems, data sources, and business applications.
• Support deployment, monitoring, and continuous improvement of AI applications in production.
Salary Range- $100,000-$120,000 a year

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