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Remote Rag Jobs in Lancaster, TX (NOW HIRING)

Principal Software Engineer - Remote

Dallas, TX · On-site +1

$133K - $179K/yr

Hands-on depth with the Model Context Protocol, prompt engineering for code, and AI building blocks such as Azure AI Foundry, RAG, LangChain, or graph-based data technologies like GraphRAG and ...

... remote administration, and system lifecycle processes. Evaluate, deploy, integrate, and operate ... Architect and review secure designs for LLMs, foundation models, RAG pipelines, AI agents, tool ...

Principal Software Engineer - Remote

Dallas, TX · On-site +1

$133K - $179K/yr

Hands-on depth with the Model Context Protocol, prompt engineering for code, and AI building blocks such as Azure AI Foundry, RAG, LangChain, or graph-based data technologies like GraphRAG and ...

Tech Lead

Dallas, TX · On-site +1

$140K - $160K/yr

Remote Reporting To: Atul Jain Compensation: $140,000 - $160,000 / year Description Technical Lead ... Strong understanding of LLMs, Agentic AI architectures, and RAG systems. * Extensive experience ...

LLM integration, RAG, and vector data platforms * Architect and operationalize agentic ecosystems ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

AI Consultant - Products

Plano, TX · On-site +1

$111K - $257K/yr

... AI agents, RAG, ML lifecycle, data readiness, responsible AI, governance, and adoption ... The starting pay range for this remote role is $111,172.00-$257,344.00. This range reflects the ...

AI Architect - GTM

Plano, TX · On-site +1

$184K - $426K/yr

... RAG, AI agents, or enterprise AI platforms. - Ability to travel 25% - Bachelor's degree or ... The starting pay range for this remote role is $184,376.00-$426,798.00. This range reflects the ...

LLM integration, RAG, and vector data platforms * Architect and operationalize agentic ecosystems ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Practice Architect AI/ML

Dallas, TX · Remote

$136K - $204K/yr

Practice Architect AI/ML ( Full-time, Remote) Think of TEKsystems Global Services (TGS) as the ... RAG pipelines, agent orchestration, or MCP / tool-calling integrations. • Cloud architecture ...

Showing results 41-60

Remote Rag information

See Lancaster, TX salary details

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How much do remote rag jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote rag in Lancaster, TX is $20.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $21.63 per hour, depending on experience, location, and employer.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

What job categories do people searching Remote Rag jobs in Lancaster, TX look for?

The top searched job categories for Remote Rag jobs in Lancaster, TX are:

What cities near Lancaster, TX are hiring for Remote Rag jobs?

Cities near Lancaster, TX with the most Remote Rag job openings:

AI Platform Engineer - Remote / Telecommute

CYNET SYSTEMS

Dallas, TX • Remote

$56/hr

Contractor

Re-posted 7 days ago


Job description

Job Overview:

Requirement/Must Have:

  • Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered.
  • 5+ years of cloud platform engineering experience, with 2+ years focused on Azure (or comparable hyperscaler).
  • Hands-on experience with infrastructure-as-code (Terraform/Bicep), CI/CD pipelines (Azure DevOps, GitHub Actions), and policy-as-code frameworks.
  • Working knowledge of AI/ML platform services — Azure OpenAI, AI Foundry, vector databases, model gateways, or equivalent.
  • Experience implementing technical controls for regulated data environments (HIPAA, PCI, or similar).
  • Strong understanding of identity, networking, encryption, and secrets management patterns in the cloud.

Responsibilities:

  • Convert approved AI reference architectures into deployable cloud configurations across Azure, MuleSoft, and Salesforce Agentforce, using infrastructure-as-code (Terraform, Bicep, ARM) and CI/CD pipelines.
  • Build and maintain reusable platform components, modules, and landing zones that accelerate AI solution delivery across product teams.
  • Configure and operate core AI platform services (e.g., Azure OpenAI, Azure AI Foundry, AI Search, MuleSoft integration layers, Salesforce Agentforce agents, Antrhopic, OpenAI) in alignment with enterprise architecture standards.
  • Implement environment promotion patterns (dev → test → prod), secrets management, and observability tooling for AI workloads.
  • Translate AI governance policies (risk tiering, model approval, PHI/PII handling, audit logging) into enforceable technical controls — policy-as-code, Azure Policy, RBAC, network isolation, and data egress restrictions.
  • Implement controls that enforce HIPAA, CMS, and internal compliance requirements for AI solutions, including Zero Data Retention configurations, audit log integration, and prompt/response logging where required.
  • Partner with the AI Governance Lead and Coordinator to ensure platform configurations match documented governance posture and are audit-ready.
  • Configure model gateways, content safety filters, bias/PII safeguards, and usage telemetry to support responsible AI operations at scale.
  • Deliver paved-path templates, starter kits, and self-service capabilities that allow product and engineering teams to build AI solutions safely without recreating platform components.
  • Provide technical support, documentation, and office hours to development teams consuming the AI platform.
  • Collaborate with Consultant Product Owners and platform architects to translate solution requirements into platform capabilities and backlog items.
  • Monitor platform health, capacity, cost, and consumption; implement automation to optimize spend and performance.
  • Support incident response, root-cause analysis, and continuous improvement of platform reliability and security posture.
  • Maintain platform documentation, runbooks, and architectural decision records.

Nice to Have:

  • Platform familiarity across Azure, MuleSoft, and Salesforce Agentforce — ability to configure, integrate, and govern AI workloads spanning all three platforms.
  • Experience operating AI or data platforms in a healthcare payer or other regulated industry.
  • Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and translating policy into technical enforcement.
  • Experience with document intelligence, RAG architectures, or agentic AI patterns.
  • Azure certifications (AZ-305, AZ-400, AI-102), MuleSoft Certified Developer/Architect, or Salesforce Agentforce/Platform credentials a plus.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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