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Remote Retrieval Augmented Generation Jobs in Columbus, OH

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AI Chatbot Developer[Remote]

Columbus, OH · Remote

... Retrieval Augmented Generation (RAG) approaches for Gen AI applications. · Ability to develop and maintain existing AI Virtual Assistant using Google CCAI Services, create and utilize Looker ...

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Remote Retrieval Augmented Generation information

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Columbus, OH?

The most popular types of Retrieval Augmented Generation jobs in Columbus, OH are:

What are popular job titles related to Remote Retrieval Augmented Generation jobs in Columbus, OH?

For Remote Retrieval Augmented Generation jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Remote Retrieval Augmented Generation jobs in Columbus, OH look for?

The top searched job categories for Remote Retrieval Augmented Generation jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Remote Retrieval Augmented Generation jobs?

Cities near Columbus, OH with the most Remote Retrieval Augmented Generation job openings:

Remote Retrieval Augmented Generation jobs near you

AI & Automation Developer - Remote - Sarnova

Dublin, OH • On-site, Remote

Sarnova HC, LLC
Health Care and Social Assistance • 501 - 1,000 employees

8.2

Company rating: 8.2 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

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Learn more about Sarnova HC, LLCexternal

Full-time

Retirement

Re-posted 12 days ago

Job description

Summary:
We're building the future of intelligent systems-and we're looking for an AI and Automation Engineer to help lead the charge. In this role, you'll design, build, and deploy scalable automation solutions that drive efficiency, reduce manual work, and accelerate innovation across the organization.
You'll work closely with teammates in Information Technology as well as business stakeholders to identify automation opportunities and turn them into reliable, AI-driven workflows. From robotic process automation (RPA) to workflow orchestration and generative AI, your work will have a measurable impact in helping to shape Sarnova's future.
Essential Duties and Responsibilities:
  • Design, develop, deploy, and support AI agents using Azure AI Foundry and Microsoft Copilot Studio.

  • Build conversational, autonomous, and multi-agent solutions using the Foundry SDK, Agent Framework, Responses API, Copilot Studio, and related Microsoft AI technologies.

  • Design prompt-based and hosted agents, selecting and optimizing models based on business requirements, performance, quality, and cost.

  • Integrate AI solutions with enterprise data and business systems through APIs, MCP, Power Platform, Dataverse, Dynamics 365, Azure Functions, custom services, and external platforms.

  • Implement Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, Foundry IQ, and enterprise knowledge sources.

  • Design and orchestrate multi-agent workflows, Agent-to-Agent (A2A) coordination, routing, and human-in-the-loop processes.

  • Develop scalable, reusable, secure, and enterprise-ready AI automation solutions.

  • Monitor, troubleshoot, evaluate, and continuously improve AI solution quality, reliability, safety, and performance.

  • Create technical documentation, testing assets, operational playbooks, and implementation standards.

  • Collaborate with business and technical stakeholders to identify, prioritize, and deliver AI-driven solutions that provide measurable business value.

  • Stay current with emerging AI technologies and advancements across Azure AI Foundry, Copilot Studio, Power Platform, and the Microsoft AI ecosystem.

Skills/Experience Required:
  • 2+ years of experience in AI development, automation engineering, software development, or a related field.

  • Hands-on experience designing, developing, deploying, and supporting AI agents using Azure AI Foundry and Microsoft Copilot Studio.

  • Experience with agent development and orchestration, including prompt-based and hosted agents, Foundry SDK, Agent Framework, Responses API, multi-agent workflows, and agent integrations.

  • Experience implementing Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, vector search, embeddings, and citation-based responses.

  • Experience building conversational and autonomous agents in Copilot Studio, including generative answers, knowledge grounding, and workflow automation.

  • Experience integrating AI solutions with Power Platform, Dataverse, Dynamics 365, APIs, Azure Functions, microservices, and enterprise applications.

  • Proficiency in Python (preferred), C#, and/or JavaScript/TypeScript, along with modern development tools such as VS Code, Git, Azure DevOps, and Azure CLI.

  • Knowledge of Model Context Protocol (MCP), custom function tools, external integrations, and API-driven architectures.

  • Strong understanding of leading LLMs, prompt engineering, context management, conversational memory, model evaluation, and AI solution optimization.

  • Experience with Azure services including Azure Functions, Azure AI Search, Storage, Key Vault, Microsoft Entra ID, and microservice-based solutions.

  • Working knowledge of SQL Server, data integration concepts, SharePoint, and Dynamics 365 Finance & Operations and CRM applications.

  • Familiarity with observability, monitoring, application logging, security, Responsible AI practices, governance, and CI/CD deployment processes.

  • Experience delivering automation solutions using Power Automate, UiPath, or similar workflow and automation platforms.

  • Strong analytical, communication, and stakeholder collaboration skills with the ability to translate business requirements into scalable technical solutions

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field; equivalent practical experience will also be considered.

  • Microsoft certifications related to Azure AI, AI Engineering, Power Platform, Copilot Studio, or Agent Development (e.g., Azure AI Engineer Associate or successor certifications).

  • Experience in healthcare, regulated, distribution, manufacturing, or other compliance-focused industries with an understanding of security, privacy, and governance requirements.

Experience with one or more of the following advanced Microsoft AI capabilities is highly desirable:
  • Deploying and managing hosted agents in Azure AI Foundry, including managed runtimes, identity, observability, and enterprise governance.

  • Designing multi-agent architectures, Agent-to-Agent (A2A) coordination, autonomous workflows, and human-in-the-loop processes.

  • Developing and maintaining MCP servers, MCP tool catalogs, reusable agent tools, and custom function integrations.

  • Leveraging Foundry IQ, Azure AI Search, and advanced RAG architectures for enterprise knowledge grounding and retrieval.

  • Utilizing advanced Azure AI Foundry capabilities such as built-in agent tools, managed memory, evaluation frameworks, observability, guardrails, and governance controls.

  • Publishing and managing agents across Microsoft Teams, Microsoft 365 Copilot, Dynamics 365, and custom web experiences.

  • Implementing enterprise AI governance, DLP policies, ALM strategies, environment management, and Responsible AI frameworks.

  • Experience integrating AI solutions with Microsoft Fabric, Power BI, advanced analytics platforms, or enterprise data ecosystems.

  • Knowledge of Microsoft Entra Agent ID, managed identities, enterprise authentication, and secure agent access patterns.

Physical Requirements:
  • Sit, walk, stand, use hands to manipulate, handle, feel, and control items or equipment

  • Reach with hands and arms

  • Talk and hear

  • See and be able to read, write, and interpret text

  • Employee may use computer, phone, copier and other office equipment in the course of a day

  • Occasionally lift and move objects weighing up to 10 pounds

  • Employee may be required to travel for business purposes

  • When working remotely, ability to secure confidential information

  • When working remotely, perform all duties in a professional environment free of noise or anything that would create a negative customer experience

Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential function of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Continuous is defined as 6-8 hours, frequently is defined as 3-6 hours, and occasionally is defined as up to 3 hours.
Work Schedule: Employee will be required to work a minimum of forty (40) hours of per week or as many hours as it may take to perform above job duties. Schedule may vary based on business demands and will require a combination of office hours as well as work performed after hours and/or weekends at times.
Sarnova is an Equal Opportunity Employer. We offer a competitive salary, commensurate with experience, along with a comprehensive benefits package, including 401(k) Plan. EEO/M/F/Veterans/Disabled. Our mission is to be the best partner for those who save and improve patients' lives. Excellence in delivering upon our mission is dependent upon having a diverse team that is empowered to bring their full, authentic self to work each day. We strive to create a workplace that reflects the communities we serve, and we are passionate

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