Gen AI Technology Architect

Sona Stardust LLC; Pennsylvania; Hybrid; USD 83,000 - 96,000; Full time

Job summary

Sona Stardust LLC in Exton, Pennsylvania, is seeking a Principal Engineer – Technology Architect for Generative AI. Hybrid work (3 days in office) with a strong focus on architecture, cloud platforms, and GenAI delivery.

The role requires 13–15 years of experience in solution architecture and full-stack engineering, with hands-on expertise in Azure/AWS, Kubernetes, and GenAI technologies. Candidates will lead cross-functional design and governance across enterprise systems.

Qualifications

• 10+ years in solution architecture and full stack engineering.
• Hands-on experience with Azure and/or AWS cloud services.
• Expertise in containers, Kubernetes, and cloud-native patterns.
• Experience designing Generative AI solutions using LLMs, RAG, embeddings, and search.
• 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.

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.

Skills

GenAI Architecture

Cloud Native

LLM / RAG

API Development

Python / Java

Kubernetes

Tools

Azure

AWS

Kubernetes

AKS / EKS

SharePoint / Blob connectors

Metadata pipelines

Job description

Role: Principal Engineer – Technology Architect – Generative AI

Experience: 13 – 15 Years

Location: Hybrid 3 days office – Exton, Pennsylvania

Rounds of interviews: 2 internal 1 client round

Rate: $60/Hr

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.