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Ai Rag Jobs (NOW HIRING)

Henderson Scott

Artificial Intelligence Engineer

Raleigh, NC · On-site

$53.75 - $69.25/hr

Senior AWS AI Platform Engineer - Generative AI | RAG | Agentic AI Location: Raleigh, NC (Hybrid) Salary: $110,000 - $130,000 + Benefits I'm currently supporting a leading enterprise organisation as ...

Digital Links Inc

AI Solution Architect

Princeton, NJ · On-site

$66 - $87/hr

Deep understanding of AI/ML concepts, including natural language processing (NLP), deep learning, generative AI, RAG architectures, and MLOps practices. Cloud Proficiency: Experience with cloud ...

Perfict

Junior AI Engineer

Woburn, MA · On-site

Preferred : • Exposure to LangChain, OpenAI/Azure AI, RAG, or Azure AI Foundry is a plus. Company : Perfict Global is an IT consulting services provider, focused on providing innovative and ...

East West Bank

AI Governance

Pasadena, CA

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

Magicforce

AI QA Engineer

Hopkins, MN · On-site

Skills - Quality LLM, OpenAI, Azure, Python RAG Pipeline, AgenticAI. Looking for a AI Quality Engineering Lead with expertise in LLMs (OpenAI, Azure OpenAI), Agentic AI, RAG pipelines, Python ...

East West Bank

AI Governance

Pasadena, CA · On-site

$130K/yr

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

East West Bank

AI Governance

Pasadena, CA

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

East West Bank

AI Governance

Pasadena, CA · On-site

$130K/yr

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

Gatik AI

AI Operations & RAG Architect

Santa Clara, CA · On-site

$170K - $220K/yr

Your mission is to design secure RAG (Retrieval-Augmented Generation) structures that allow AI to safely access company knowledge while strictly respecting security boundaries and data privacy. This ...

Lorven Technologies

AI/ML Engineer

Omaha, NE · On-site

EXPERIENCE WITH LLMS / GENERATIVE AI, RAG ARCHITECTURES, OR NLP USE CASES * EXPOSURE TO MLOPS FRAMEWORKS (MODEL MONITORING, CI/CD PIPELINES, MODEL VERSIONING) * EXPERIENCE WITH DATABRICKS, SNOWFLAKE ...

Apex Informatics

AI Solutions Architect

$64.50 - $85/hr

Architectural/technical experience with Gen AI (RAG/chain frameworks, Vector DB searches and embeddings, Agentic AI, etc.) * Architectural/technical expertise with cloud especially GCP, Azure, AWS ...

Inspira Financial

Principal AI Engineer (Remote)

... AI (RAG, agents/orchestration, vector search, prompt & tool design, event‑driven microservices, API gateways). • Select fit‑for‑purpose models and services (e.g., Azure OpenAI, Bedrock ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

At least one Generative AI / RAG capability shipped to customers, with measurable adoption and a clear quality bar (groundedness, latency, cost per call). A documented AI/ML strategy and roadmap for ...

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Ai Rag information

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$32K

$58.2K

$83.5K

How much do ai rag jobs pay per year?

As of Jul 15, 2026, the average yearly pay for ai rag in the United States is $58,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $65,000.00 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 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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

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.
More about Ai Rag jobs
What cities are hiring for Ai Rag jobs? Cities with the most Ai Rag job openings:
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Ai Rag jobs near you
Infographic showing various Ai Rag job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $58,245 per year, or $28 per hour.
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Henderson Scott

Raleigh, NC • On-site

$53.75 - $69.25/hr

Other

Posted 3 days ago

Job description

Senior AWS AI Platform Engineer – Generative AI | RAG | Agentic AI

Location: Raleigh, NC (Hybrid)

Salary: $110,000 – $130,000 + Benefits

I'm currently supporting a leading enterprise organisation as they continue to expand their AI capability with the appointment of a Senior AWS AI Platform Engineer.

This is an opportunity to play a key role in designing and delivering enterprise-scale AI solutions, working alongside Cloud Infrastructure, Security, Data Engineering, Enterprise Architecture and Application Development teams to accelerate the adoption of Generative AI across the business.

Key Responsibilities

  • Design and implement enterprise-scale Retrieval-Augmented Generation (RAG) solutions.
  • Build AI Agents and multi-agent workflows using AWS native AI services.
  • Develop reusable AI integration patterns and reference architectures.
  • Support the onboarding of business applications onto an enterprise AI platform.
  • Design scalable, secure and resilient cloud-native AI solutions on AWS.
  • Drive AI governance, observability and best practices across multiple AI initiatives.
  • Act as the technical lead across cross-functional engineering teams.

Key Technologies

  • AWS: Bedrock, SageMaker, Knowledge Bases, OpenSearch, Lambda, ECS, EKS, API Gateway, CloudFormation, Terraform, EventBridge, IAM, VPC, S3 and related services.
  • AI: RAG, Agentic AI, Vector Databases, Embeddings, Semantic Search, Prompt Engineering, LangChain, LangGraph, LlamaIndex, Bedrock Agents and Guardrails.
  • Development: Python, Java, REST APIs, SQL, NoSQL, Git and CI/CD.

What We're Looking For

  • 10+ years' experience in Cloud Engineering, Platform Engineering or Enterprise Architecture.
  • Commercial experience building Generative AI solutions on AWS.
  • Hands-on experience with RAG architectures and AI Agents.
  • Strong AWS platform engineering experience.
  • Excellent stakeholder management and technical leadership skills.
  • Experience within enterprise or regulated environments is highly desirable.

This is an excellent opportunity to join an organisation making significant investment in AI, where you'll have the chance to influence architecture, engineering standards and the future direction of enterprise AI adoption.

If you'd like to hear more, please apply or get in touch for a confidential discussion.

Apply