Solution Architect Gen AI

Here Technologies
Exton, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Exton, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Engineering
DevOps
Python
Metadata
Node.js
Search Technologies
SharePoint
Systems Integration
Enterprise Software Applications
Chatbots
Large Language Models
Generative AI
Event Driven Architecture
Containerization
Kubernetes
Api Design
Microservices

Job description

Seeking a handson Solution Architect to lead the design and delivery of enterprisegrade Generative AI solutions. This role will drive architecture for the Enterprise GenAI Platform, chatbot use cases, and cloudnative AI applications built on Azure, AWS, and container technologies., * Lead architecture and technical design for GenAI solutions across the enterprise.

  • Build cloudnative 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 GenAIenabled applications.
  • Partner with cross functional teams to align on architecture, integration patterns, and standards.
  • Provide handson oversight across DevOps, APIs, connectors, and pipeline execution.
  • Ensure designs meet enterprise security, governance, and operational requirements.

Requirements

  • 10+ years in solution architecture and fullstack engineering.
  • Strong handson 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 multiusecase GenAI platforms.
  • Knowledge of AI governance, security, and responsible AI practices.
  • Ability to influence crossfunctional teams and lead complex technical discussions.

Apply for this position