Princ Engr-AI Science

Serve as the deep technical expert and lead for the development and productionization of Generative AI and multi-agent systems.

Architect and implement complex, autonomous, self-correcting agents capable of reasoning, using tools, and solving multi-step business tasks in non-linear workflows.

Drive the core technical efforts in Agentic Workflow Orchestration, including designing robust agent-to-agent communication patterns and structuring the overall task flow.

Lead the engineering and optimization of Large Language Model (LLM) components through advanced Prompt Engineering, Fine-tuning, and Context Engineering (RAG pipelines).

Design and deliver high-precision Retrieval Augmented Generation (RAG) systems using vector databases and semantic search to ground models in enterprise data.

Define and execute rigorous experimental protocols (A/B testing, hypothesis testing) and custom evaluation suites to prove the reliability and auditability of AI solutions.

Provide technical validation and architectural oversight to safely integrate autonomous solutions into the technology stack and ensure alignment with AI governance principles.

• Act as a subject matter expert and mentor to junior data scientists and engineers on MLOps best practices and advanced AI implementation.