GenAI Tech Architect

Tasks

• Architect and deliver enterprise-grade GenAI applications using LLMs, RAG, AI agents, and orchestration frameworks.
• Design scalable, secure, cloud-native solutions using AWS and Amazon Bedrock.
• Lead microservices and API architecture using Java, Python, or .NET.
• Establish GenAI architecture standards, reference architectures, and engineering best practices.
• Drive AI-assisted software development using GitHub Copilot and Claude.
• Ensure CI/CD excellence, security, responsible AI, governance, and production readiness.
• Collaborate with engineering teams and senior stakeholders to accelerate enterprise AI adoption.

Requirements

• 16–20 years
• GenAI Solution Architecture and production LLM implementations
• RAG, AI Agents, LangChain, LangGraph, or similar frameworks
• LLMs: GPT-4/4o, Claude, Gemini, or Llama
• AWS Cloud Architecture and Amazon Bedrock
• Prompt Engineering and Context Engineering
• Microservices, APIs, and strong software engineering fundamentals
• CI/CD, DevOps, and enterprise architecture practices
• Good to Have: GitHub Copilot / Claude for AI-assisted development
• Vector databases: OpenSearch, Pinecone, or pgvector
• AI Governance, Guardrails, Security, and Responsible AI
• Insurance / P&C or BFSI domain experience
• Azure OpenAI or Google Vertex AI
• AI Center of Excellence or enterprise platform leadership
• Hands-on architects with a strong software engineering foundation, proven enterprise architecture experience, and 2–3+ years of practical GenAI experience. Candidates should be able to demonstrate GenAI solutions they personally arch

Schedule

• 4 days onsite

Location

• Charlotte, NC