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Ai Rag Jobs (NOW HIRING)

INFOSYS NOVA HOLDINGS LLC

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Implement Graph RAG solutions by integrating knowledge graphs, entity extraction, relationship ... Deploy AI workloads on AWS, Azure, and GCP , using services such as Bedrock, SageMaker, Azure ...

Unicon Systems

AI Consultant

San Jose, CA · On-site

$62 - $68/hr

Design and develop production-grade AI solutions using LLMs, AI agents, RAG pipelines, and orchestration frameworks . * Translate ambiguous business requirements into clear technical designs and ...

SCI SOLUTIONS GLOBAL

AI/ML Software Engineer

Plano, TX

$55 - $60/hr

Implement RAG solutions using chunking, embeddings, vector databases, and retrieval techniques. * Work with AWS Bedrock and Anthropic Claude models and APIs. * Use AI frameworks such as LangChain ...

Info Way Solutions

Python with AI

Boston, MA · On-site

Build production-grade AI applications using LLMs, Generative AI, RAG, and AI agents . * Develop Python-based APIs and backend services using FastAPI, Flask, or similar frameworks . * Integrate ...

New

AgreeYa Solutions

AI Engineer

Phoenix, AZ · On-site

AI Engineer Job Location: Phoenix, AZ | Onsite Description: AgreeYa is a global Systems Integrator ... RAG & Vector Databases * TensorFlow, PyTorch, Scikit-learn * LangChain, LlamaIndex AgreeYa is a ...

Premier Inn Hotels LLC (UAE)

$65 - $70/hr

Implement RAG solutions using chunking,embeddings, vector databases, and retrieval techniques. * Work with AWS Bedrock and Anthropic Claude models and APIs. * Use AI frameworks such as LangChain ...

New

NTT DATA, Inc.

AI Architect

Dallas, TX · On-site

Requires deep expertise in Retrieval-Augmented Generation (RAG) and Agentic AI architecture on cloud-native platforms. Platform & Enablement Roles * AI Platform Admin (M365, Copilot Studio) - Manages ...

Exavalu

Principal Agentic AI Engineer

California, MO · On-site

$120K - $162K/yr

RAG architectures * Multi-agent orchestration * Develop reusable AI components and reference implementations. * Own critical code paths and contribute to hands-on software development. Agent ...

Barrow Wise Consulting

AI Infrastructure Engineer

Norco, CA · On-site +1

$115K - $151K/yr

Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads. * Build deterministic, well-tested deployment tooling 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 Sep 12, 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 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.

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Ai Rag jobs near you
Infographic showing various Ai Rag job openings in the United States as of September 2026, with employment types broken down into 5% Internship, 63% Full Time, 9% Part Time, and 23% Contract. Highlights an 59% In-person, 18% Hybrid, and 23% Remote job distribution, with an average salary of $58,245 per year, or $28 per hour.

AWS AI Solution Architect

Edison, NJ • On-site

Tata Consultancy Service Limited
IT Services • 10K+ employees
Learn more about Tata Consultancy Service Limitedexternal

$120K - $153K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Job Description:
Role Overview: We are seeking a hands-on AWS Solution Architect with 8-12 years of experience in designing and delivering cloud-native, AI-powered enterprise solutions. The ideal candidate will bring strong expertise in AWS Cloud, Generative AI, Agentic AI, application modernization, and scalable distributed architectures, with the ability to translate business requirements into secure, resilient, and production-ready solutions.
Key Responsibilities
• Architect and implement AWS-native AI solutions using Amazon Bedrock, AWS Lambda, Amazon ECS/EKS, SageMaker, API Gateway, S3, Glue, Redshift, DynamoDB, and related AWS services.
• Design Agentic AI and RAG-based solutions, including AI orchestration, tool integration, security guardrails, and enterprise-scale deployment patterns.
• Define cloud architecture standards, microservices patterns, serverless designs, integration approaches, observability, resiliency, and governance frameworks.
• Lead customer workshops, solution design sessions, architecture reviews, and guide engineering teams through implementation.
Required Skills
• AWS Cloud Architecture, Amazon Bedrock, Generative AI, Agentic AI, RAG, Python, and solution design.
• Microservices, serverless computing, containers, Kubernetes/EKS, API-led integration, and event-driven architecture.
• Data engineering, data lakes, AWS Glue, Redshift, DynamoDB, CI/CD, DevOps, Infrastructure as Code, and observability.
• Strong customer-facing communication, consulting mindset, technical leadership, and ability to align business outcomes with AWS architecture.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$153,036 a year
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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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