Principal Engineer -Technology Architect - Generative AI

PeopleNTech LLC
  • Alexandria, VA
  • $94–$100 Per Hour
  • Instant Apply
30+ days ago

Job Description

Role: Principal Engineer -Technology Architect - Generative AI
Experience: 13 - 15 Years
Location: Exton, PA
Arrangements- Hybrid 3 days office - Exton, Pennsylvania
Rounds of interviews: 2 internal + 1 client round
Rate: : $94-$100/hr. c2c all inclusive

Client: Ricoh (Please don't share this with candidates)
Job Description :
Key Responsibilities :
• Lead architecture and technical design for GenAI solutions across the enterprise
• Build cloud native systems using Azure, AWS, Kubernetes/AKS/EKS, containers, and microservices patterns.
• Architect and guide development of LLM/RAG pipelines, embeddings, vector/hybrid search, and metadata processing.
• Support delivery of GenAI enabled applications.
• Partner with cross functional teams to align on architecture, integration patterns, and standards.
• Provide hands on oversight across DevOps, APIs, connectors, and pipeline execution.
• Ensure designs meet enterprise security, governance, and operational requirements.
Required Experience :
• 10+ years in solution architecture and full stack engineering.
• Strong hands on experience with Azure and/or AWS cloud services.
• Expertise in containers, Kubernetes, and cloud-native application patterns.
• Practical experience designing Generative AI solutions using LLMs, RAG, embeddings, chunking, and search technologies.
• Proficiency in Python, Node.js, or Java, API development, and event-driven architectures.
• Familiarity with integrations like SharePoint/Blob connectors, Azure Search, metadata pipelines, and enterprise systems.
Preferred :
• Experience delivering enterprise AI chatbots and multi use case GenAI platforms.
• Knowledge of AI governance, security, and responsible AI practices.

Numbers & Facts

LocationAlexandria, VA
Salary$94–$100 Per Hour

Skills

  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Cloud Computingunmatched
  • Conversation Engineunmatched
  • Cross-Functionalunmatched
  • DevOpsunmatched
  • Enterprise Protectionunmatched
  • Javaunmatched
  • Metadataunmatched
  • Microservicesunmatched
  • Microsoft SharePointunmatched
  • Microsoft Windows Azureunmatched
  • Node.jsunmatched
  • Python Programming/Scripting Languageunmatched
  • Search Technologyunmatched
  • Shallow Parsingunmatched
  • Technical/Engineering Designunmatched
  • Use Casesunmatched
  • User Documentationunmatched

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