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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?

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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.

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Remote Rag jobs near you

.NET Architect (AWS & GenAI) (Remote)

Cognizant Technology Solutions

Fort Mill, SC • On-site, Remote

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Cognizant rating

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

Job description

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About the role
As a .NET Architect (AWS & GenAI), you will make an impact by designing and delivering scalable, AI-powered enterprise solutions that accelerate business transformation and modernization initiatives. You will be a valued member of the architecture and engineering team and work collaboratively with clients, business stakeholders, product teams, and software engineers to define and implement innovative cloud-native solutions.
Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
In this role, you will:
  • Lead end-to-end solution architecture for enterprise applications and AI-enabled platforms.
  • Design and implement Generative AI solutions leveraging AWS Bedrock, OpenSearch, LLMs, RAG frameworks, and MCP models.
  • Develop scalable, secure, and high-performing applications using .NET Core, SQL, AWS Lambda, Kubernetes, and AWS cloud services.
  • Partner with business and technology stakeholders to translate requirements into robust technical architectures and solution roadmaps.
  • Provide technical leadership, mentorship, and guidance to engineering teams while promoting best practices and architectural standards.

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 in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • 12+ years of experience, and in solution architecture, software engineering, or enterprise application development.
  • Proven experience leading solution architecture initiatives and collaborating with clients and cross-functional stakeholders.
  • Strong hands-on experience with .NET Core, SQL Server, and AWS cloud technologies.
  • Experience with AWS Bedrock, OpenSearch, S3, Lambda, Kubernetes, and cloud-native application development.
  • Strong knowledge of Generative AI technologies including Prompt Engineering, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP).
  • Experience designing scalable, secure, and maintainable enterprise software solutions.
  • Strong understanding of application performance optimization, security, testing, and software development best practices.
  • Excellent communication, stakeholder management, and technical leadership skills.

These will help you stand out
  • Experience within Asset & Wealth Management or Financial Services domains.
  • Knowledge of Python development and AI/ML frameworks.
  • Experience with reverse engineering and application modernization initiatives.
  • AWS certifications or cloud architecture certifications.
  • Experience implementing enterprise AI governance and responsible AI practices.
Salary and Other Compensation:
Applications will be accepted until September 11th, 2026.
The annual salary for this position is between $100,000 - $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.
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.

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