Solution Architect, Generative AI

Solution Architect in Generative AI

Key Responsibilities:

• Lead architecture for GenAI projects: LLMs, embeddings, RAG, prompt engineering, agent frameworks.
  
• Define scalable designs across full-stack: React, Node.js, .NET Core, C#, Cosmos DB, SQL/NoSQL, vector DBs.
  
• Implement Azure/GCP cloud-native solutions using AKS, GKE, Functions, Pub/Sub.
  
• Drive CI/CD automation via GitHub Actions, Azure DevOps, Cloud Build.
  
• Conduct architecture/code reviews and enforce security, DevSecOps, and performance standards.
  
• Translate business requirements into technical solutions and communicate with senior stakeholders.
  
• Mentor engineering teams and promote innovation, collaboration, and agile delivery.
  

Required Skills:

Generative AI, LLMs, Prompt Engineering, LangChain, RAG, C#, .NET Core, React, Node.js, Azure, Google Cloud, AKS, GKE, Terraform, CI/CD, Cosmos DB, BigQuery, Microservices, DevSecOps, API Gateway

Qualifications:

• Bachelors in Computer Science or Engineering (Master’s in AI/ML preferred)
  
• Strong leadership, communication, and stakeholder management skills
  

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