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Remote Rag Jobs in Pittsburgh, PA (NOW HIRING)

CEI

AI Solutions Architect

Pittsburgh, PA · Remote

$61.25 - $80.50/hr

Remote (candidates in the Dallas, TX or Pittsburgh, PA areas strongly preferred) Compensation ... Experience with LLMs, generative AI frameworks, and modern ML architectures (e.g., RAG, vector ...

Epistemix

AI Engineer

Pittsburgh, PA · Remote

Understanding of retrieval-augmented generation (RAG) techniques. * Background in MLOps practices ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

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How much do remote rag jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote rag in Pittsburgh, PA is $20.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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What is a Remote RAG (Retrieval-Augmented Generation) specialist?

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 some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) 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

AI Solutions Architect

CEI

Pittsburgh, PA • Remote

$61.25 - $80.50/hr

Full-time

Posted 8 days ago

Job description

AI Solutions Architect

Location: Remote (candidates in the Dallas, TX or Pittsburgh, PA areas strongly preferred)
Compensation: Competitive, based on experience
Employment Type: W2 only. No C2C candidates.

Role Objective:
CEI America is seeking an experienced AI Solutions Architect to design, lead, and scale enterprise AI solutions for our clients. This role owns the end to end architecture of AI/ML systems, from strategy and solution design through deployment, and serves as the technical authority guiding both internal delivery teams and client stakeholders on best in class, production ready AI implementations.

Key Responsibilities

  • Design and architect scalable AI/ML solutions, including generative AI, LLM based applications, and machine learning pipelines, aligned to client business objectives.
  • Lead technical strategy for AI platform selection, model architecture, data pipeline design, and MLOps practices.
  • Partner with data engineers, solution architects, and delivery teams to ensure AI solutions are secure, scalable, and production ready.
  • Serve as the client facing technical expert during presales, discovery, and solution design engagements.
  • Evaluate and recommend AI/ML frameworks, cloud AI services (Azure AI, AWS, GCP), and tooling based on client needs.
  • Establish architectural standards, governance, and best practices for AI model development, deployment, and monitoring.
  • Guide integration of AI solutions with existing enterprise systems and data infrastructure.
  • Stay current on emerging AI/ML technologies and provide thought leadership internally and externally.
  • Mentor technical teams on AI architecture patterns and responsible AI practices.

What you will bring:

  • Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
  • 8+ years of experience in software/data architecture, with 4+ years focused specifically on AI/ML architecture.
  • Proven hands on experience architecting and deploying AI/ML solutions in production environments, not just proof of concept work.
  • Strong expertise in at least one major cloud platform's AI/ML stack (Azure AI, AWS SageMaker, or Google Vertex AI).
  • Experience with LLMs, generative AI frameworks, and modern ML architectures (e.g., RAG, vector databases, fine tuning).
  • Solid understanding of MLOps, data pipelines, and enterprise data architecture.
  • Excellent communication skills, with experience presenting technical solutions to executive and client stakeholders.
  • Must be authorized to work in the U.S. on a W2 basis. No Corp to Corp (C2C) candidates.

Why This Role Matters
This role is central to CEI's AI native transformation strategy, ensuring clients receive architecturally sound, scalable, and responsibly governed AI solutions that drive real business impact.
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