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Ai Rag Jobs in Buffalo, NY (NOW HIRING)

M&T Bank

Lead AI Platform Engineer

Buffalo, NY · On-site

$116K - $194K/yr

Role Summary The Lead AI Platform Engineer is a handson technical contributor responsible for ... Implement and maintain retrievalaugmented generation (RAG) solutions, including data ingestion ...

New

Luxoft

AI & Platform Software Engineer

Buffalo, NY · On-site

Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation). * Hands-on Azure experience ...

Luxoft

AI & Platform Software Engineer

Buffalo, NY · On-site

$120 - $160/hr

Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation). * Hands-on Azure experience ...

Luxoft

GenAI Solutions Architect

Buffalo, NY · On-site

$140 - $210/hr

... AI platform and gateway architecture. * Produce and maintain reference architectures, design patterns, and working examples for common use‑case shapes (RAG applications, document processing ...

New

Luxoft

GenAI Platform Engineering Team Lead

Buffalo, NY · On-site

$180 - $240/hr

Hands-on GenAI experience: model integration, RAG patterns, and AI-assisted engineering workflows.Experience operating production platforms in a regulated, controlled-change environment.Demonstrated ...

New

Epicor

Senior Product Manager | Prism

Buffalo, NY · On-site

$122K - $161K/yr

Overview Prism runs on third-party AI models, RAG/hybrid search and a set of Prism's own core agents, all coordinated by an orchestrator that Epicor built and owns. That orchestrator decides which ...

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Ai Rag information

See Buffalo, NY salary details

$31K

$56.4K

$80.9K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Buffalo, NY is $56,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $63,000.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Ai Rag jobs in Buffalo, NY? For Ai Rag jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Buffalo, NY look for? The top searched job categories for Ai Rag jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Ai Rag jobs? Cities near Buffalo, NY with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Buffalo, NY as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $56,420 per year, or $27.1 per hour.

Lead AI Platform Engineer

M&T Bank

Buffalo, NY • On-site

$116K - $194K/yr

Full-time

Posted 2 days ago

New

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

89th of 170 rated banks

Job description

Role Summary

The Lead AI Platform Engineer is a handson technical contributor responsible for designing, developing, and integrating Generative AI-enabled capabilities within M&T Bank's secure, governed enterprise environment. This role combines strong software engineering fundamentals with applied GenAI experience and partners closely with product, architecture, and engineering teams to deliver scalable, reliable, and responsible AI solutions.

Key Responsibilities

  • Design, develop, and support GenAIenabled features including AIassisted coding, documentation, testing, analysis, and workflow automation

  • Implement and maintain retrievalaugmented generation (RAG) solutions, including data ingestion, embeddings, vector stores, and search pipelines

  • Design and build agentbased and toolinvoking GenAI workflows, including multistep LLM interactions using approved enterprise platforms

  • Develop and integrate APIs and backend services connecting LLMs to internal systems and approved thirdparty tools

  • Lead prompt design, testing, and iteration to improve output quality, relevance, and safety

  • Participate in model testing, evaluation, and performance analysis using established enterprise frameworks

  • Contribute handson development using modern languages and frameworks (e.g., Java, Python, C#)

  • Collaborate with Product Managers, Architects, and Engineers to translate requirements into technical solutions

  • Provide technical guidance and mentoring to less experienced engineers

  • Follow and promote M&T Bank SDLC, security, and responsible AI standards

Required Qualifications

  • Associate's degree and a minimum of 7 years' systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 year's education and/or relevant work experience, including a minimum of 5 years' system analysis and/or application development work experience.

  • Strong foundation in software engineering principles, data structures, and algorithms

  • Handson experience with Java, Python, or C# in production environments

  • Experience with RESTful APIs, APIdriven development, and Gitbased version control

  • Working knowledge of machine learning and large language model (LLM) fundamentals

  • Experience working within enterprise SDLC, security, and compliance standards

Preferred Qualifications

  • Experience implementing Generative AI solutions in enterprise or regulated environments

  • Handson experience with RAG architectures, embeddings, and vector databases

  • Familiarity with Transformerbased models, attention mechanisms, and tokenization

  • Experience with Microsoft Azure, including Azurebased AI services and GenAI platforms

  • Exposure to CI/CD pipelines, DevOps tooling, and automated testing

  • Understanding of responsible AI, data privacy, and model governance principles

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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