Ruby Jha

I have spent 20 years building enterprise products in Financial Services, Healthcare & Insurance. Led teams, shipped products, dealt with the kind of regulatory scrutiny where mistakes cost real money. Now I build AI systems and lead the engineers who ship them.

At State Street, I own product strategy for a cloud-native Self-Service Portal used by 40+ enterprise customers across 7 global regions. That product cut operational costs by $250K per month and reduced support volume by 60%. At Centene, I led modernization of a healthcare product covering 44 million lives. At EY, I led a 12-engineer team building an insurance product for Tier-1 insurers. That project also established the processes that earned EY its CMMI Level 3 certification.

At State Street I am also the lead AI engineer on the Enterprise Knowledge Agent, a RAG system on AWS Bedrock with Claude models, orchestrated in LangGraph, over product documentation, runbooks, and release notes. It returns cited answers. Releases are gated on golden-set evaluation in CI. The AI governance committee approved it and it is in pilot with internal and customer users.

In 2025 I started a self-directed portfolio of 9 AI systems: synthetic data generation, RAG evaluation, LLM fine-tuning, multi-agent orchestration, and production RAG pipelines. Built with Python, OpenAI, LangChain, CrewAI, ChromaDB, and FastAPI. Each project has evaluation metrics, architecture decision records, and documented tradeoffs.

I am looking for an Applied AI Engineering Manager role. I have led global teams in Financial Services, Healthcare, and Insurance, and I now lead AI engineering in production at one of them. If that combination is what your team needs, let's talk.