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Ai Rag Jobs in Basking Ridge, NJ (NOW HIRING)

Accord Technologies Inc.

GEN AI Architect

New York, NY · On-site

Apply RAG techniques to improve information retrieval and decision-making processes. * Collaborate with cross-functional teams including AI, data science, and investment banking divisions. * Develop ...

SAP

Principal Forward Deployed Architect

New York, NY · On-site

Lead solution architecture spanning AI agents, RAG, Knowledge Graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms. * Serve as the primary technical advisor for ...

Capgemini

Forward Deployed Engineer

Jersey City, NJ · On-site

$100K - $130K/yr

Design, develop, and deploy production‑grade AI/ML solutions leveraging Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks. * Build scalable backend services, APIs, and ...

SAP

Principal Forward Deployed Architect

Manhattan, NY · On-site

Lead solution architecture spanning AI agents, RAG, Knowledge Graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms. * Serve as the primary technical advisor for ...

United Airlines

Forward Deployed Engineer

Manhattan, NY · On-site

$100K - $130K/yr

Design, develop, and deploy production-grade AI/ML solutions leveraging Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks. * Build scalable backend services, APIs, and ...

SAP

Principal Forward Deployed Architect

Manhattan, NY · On-site

Lead solution architecture spanning AI agents, RAG, Knowledge Graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms. * Serve as the primary technical advisor for ...

SAP

Principal Forward Deployed Architect

New York, NY · On-site

Lead solution architecture spanning AI agents, RAG, Knowledge Graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms. * Serve as the primary technical advisor for ...

Millennium Management LLC

AI Engineer

New York, NY · On-site

$175K - $250K/yr

Build, test, and deploy production-grade AI solutions using generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows * Help redesign how business ...

Visvero, Inc.

Gen AI Architect

New York, NY · On-site

Apply RAG techniques to improve information retrieval and decision-making processes. Collaborate with cross-functional teams including AI, data science, and investment banking divisions. Develop ...

United Airlines

Forward Deployed Engineer

Manhattan, NY · On-site

Key Responsibilities Design, develop, and deploy production-ready AI/ML solutions using Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks. Build scalable backend services and ...

Capgemini

Forward Deployed Engineer

New York, NY · On-site

Key Responsibilities • Design, develop, and deploy production-ready AI/ML solutions using Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks. • Build scalable backend ...

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All JobsAi Rag JobsAi Rag Jobs in Basking Ridge, NJ

Ai Rag information

See Basking Ridge, NJ salary details

$33K

$60K

$86.1K

How much do ai rag jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai rag in Basking Ridge, NJ is $60,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $67,000.00 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.

What job categories do people searching Ai Rag jobs in Basking Ridge, NJ look for?

The top searched job categories for Ai Rag jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Ai Rag jobs?

Cities near Basking Ridge, NJ with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $60,025 per year, or $28.9 per hour.

GEN AI Architect

New York, NY • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees
Learn more about Accord Technologies Inc.external

Full-time

Re-posted 24 days ago

Job description

GEN AI Architect
Location: NYC, NY
Duration: Long Term
Onsite from day one
Position type: W2 contract (daily rate)
The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). 

 Key Responsibilities: 

  • Design, develop, and implement Generative AI solutions tailored to investment banking needs. 
  • Utilize Microsoft Azure OpenAI services to build and optimize AI models. 
  • Apply RAG techniques to improve information retrieval and decision-making processes. 
  • Collaborate with cross-functional teams including AI, data science, and investment banking divisions. 
  • Develop prototypes and proof-of-concept models for internal stakeholders. 
  • Ensure compliance with data security, privacy policies, and industry regulations. 
  • Stay updated with the latest trends and advancements in AI, especially related to RAG and Azure OpenAI. 

 Qualifications: 

  • Proven experience in investment banking or financial services. 
  • Extensive hands-on experience with Microsoft Azure OpenAI services. 
  • Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). 
  • Proficiency in programming languages such as Python. 
  • Knowledge of AI model deployment and API integration. 
  • Excellent problem-solving skills and ability to work in a fast-paced environment. 
  • Strong communication skills and ability to convey technical concepts to non-technical stakeholders. 
  • Certifications in Azure or AI-related fields. 
  • Experience with large language models (LLMs) and their application in finance. 
  • Prior experience in developing secure and scalable AI solutions.