ZipRecruiter

Log In

2

Remote Rag Jobs in Gastonia, NC (NOW HIRING)

Mondo

GCP AI Engineer

Charlotte, NC · Remote

$100 - $111/hr

Remote Start Date: 2 weeks after verbal offer Duration: Contract, 6 months (potential to convert to ... Develop AI agents and RAG systems using Google Cloud's AI ecosystem, including Vertex AI, BigQuery ...

The Hartford

Principal AI Engineer

Charlotte, NC · On-site +1

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Proficiency in customization techniques across various stages of the RAG pipeline, including model ...

Addison Group

Agentic AI Engineer

Charlotte, NC · Remote

$140K - $175K/yr

Charlotte, NC with a hybrid weekly schedule (3 Days Onsite/2 Days Remote) Status: Salaried, Exempt ... Retrieval-Augmented Generation (RAG) solutions leveraging company knowledge repositories.

The Hartford

AVP Applied AI

Charlotte, NC · On-site +1

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and ...

Humana

Senior AI Implementation Lead

Charlotte, NC · On-site +1

Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Charlotte, NC · On-site +1

Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Aprio

Senior AI Product Associate, IT

Charlotte, NC · On-site +1

$104K - $160K/yr

Exposure to agentic AI workflows, RAG architectures, or LLM integration patterns. * Familiarity ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

Humana

Senior AI Implementation Lead

Charlotte, NC · On-site +1

Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

next page

Showing results 1-20

All JobsRag JobsRemote Rag JobsRemote Rag Jobs in Gastonia, NC

Remote Rag information

See Gastonia, NC salary details

$15

$19

$21

How much do remote rag jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote rag in Gastonia, NC is $19.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $20.87 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 are popular job titles related to Remote Rag jobs in Gastonia, NC?

For Remote Rag jobs in Gastonia, NC, the most frequently searched job titles are:

What job categories do people searching Remote Rag jobs in Gastonia, NC look for?

The top searched job categories for Remote Rag jobs in Gastonia, NC are:

What cities near Gastonia, NC are hiring for Remote Rag jobs?

Cities near Gastonia, NC with the most Remote Rag job openings:

Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Gastonia, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $40,871 per year, or $19.6 per hour.

Principal AI Engineer (Remote)

Charlotte, NC • On-site, Remote

Cognizant Technology Solutions

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Paid breaks

Recommended by parents

Respectful managers

Learn more about Cognizant Technology Solutionsexternal

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Principal AI Engineer (Remote)
Location: Remote
Employment Type: Full-Time
Job ID: 00070203661
About the role
As a Principal AI Engineer, you will make a significant impact by designing, building, and scaling enterprise-grade agentic AI solutions that are secure, trustworthy, and production-ready. You will serve as a senior individual contributor, leading the architecture and implementation of advanced multi-agent systems, model orchestration frameworks, and AI governance capabilities that can be leveraged across multiple strategic initiatives.
You will be a valued member of our AI Engineering team, collaborating with architects, data scientists, software engineers, platform teams, and business stakeholders to establish reusable patterns, raise engineering standards, and accelerate enterprise AI adoption.
In this role, you will:
  • Architect and deliver scalable agentic and multi-agent AI systems, including orchestration, planning, memory, tool integration, and enterprise platform connectivity.
  • Design, develop, and deploy production-grade AI applications, owning technical decisions from proof of concept through operational deployment.
  • Build and optimize model orchestration frameworks that intelligently balance cost, latency, performance, and scalability across multiple model providers and AI services.
  • Develop robust LLM-powered solutions using prompt engineering, Retrieval-Augmented Generation (RAG), context management, structured outputs, and advanced evaluation frameworks.
  • Establish AI governance, safety, and responsible AI controls, including guardrails, validation frameworks, traceability, monitoring, auditability, and compliance mechanisms.

Work model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants within the United States.
Regardless of your working arrangement, we are committed to supporting a healthy work-life balance through our wellbeing programs, career development opportunities, and collaborative culture.
What you need to have to be considered
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline, or equivalent practical experience.
  • 8+ years of experience in software engineering, machine learning, or AI engineering, including recent hands-on delivery of production AI or LLM-based solutions.
  • Expert-level Python development experience with modern frameworks such as FastAPI, Pydantic, and asynchronous programming patterns.
  • Deep hands-on experience with agentic AI frameworks such as LangGraph, LangChain, Google ADK, or similar orchestration platforms.
  • Strong expertise in LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG), context management, and evaluation methodologies.
  • Experience designing model selection and orchestration strategies that optimize cost, latency, and response quality across AI workloads.
  • Practical experience in machine learning, model evaluation, fine-tuning, feature engineering, and statistical analysis.
  • Proven experience delivering solutions on cloud platforms using modern MLOps practices, CI/CD pipelines, containers, monitoring, and observability tools.
  • Demonstrated ability to lead complex technical initiatives, mentor engineers, and produce clear architecture and design documentation.

These will help you stand out
  • Experience implementing AI governance, responsible AI, and safety frameworks, including adversarial testing, guardrails, drift detection, auditability, and compliance controls.
  • Hands-on experience with Google Cloud technologies such as Vertex AI, Cloud Run, and BigQuery.
  • Experience with model routing, LLM gateway, or AI orchestration platforms such as LiteLLM, TrueFoundry, or Bifrost.
  • Familiarity with low-latency model serving, inference optimization, and local-model deployment strategies.
  • Knowledge of AI FinOps practices, including predictive budgeting, usage optimization, and cost governance for LLM platforms.
  • Contributions to AI evaluation, observability, monitoring, or governance tooling.
  • Experience operating in highly regulated, security-sensitive, or compliance-driven enterprise environments.
  • Publications, conference presentations, technical blogs, whitepapers, or contributions to the broader AI community.

Salary and Other Compensation:
Applicants will be accepted till 9/18/2026
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
The annual salary for this position will be in the range of $130,000 - $150,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
Apply Now!
#LI-IK1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply