Generative AI Solutions Architect - Enterprise Systems

About the opportunity

Guide enterprise clients in deploying production RAG architectures, Amazon Bedrock agents, and custom fine-tuned models.

What you will do

• check_circle Architect enterprise RAG pipelines incorporating vector databases, dense rerankers, and chunking strategies.
• check_circle Build autonomous enterprise workflows using Amazon Bedrock Agents and Action Groups.
• check_circle Establish cost-optimization and latency guardrails for high-throughput LLM API deployments.
• check_circle Author technical whitepapers and open-source code samples on GitHub showcasing enterprise GenAI patterns.

What we are looking for

• arrow_circle_right 5+ years in cloud architecture or machine learning engineering with 2+ years dedicated to Generative AI.
• arrow_circle_right Strong proficiency in Python, LangChain, LlamaIndex, Amazon Bedrock, and vector databases.
• arrow_circle_right Proven ability to present technical architectures to enterprise engineering directors and CTOs.

Skills & Tech Stack