AI Science

This is a Principal Engineer AI Science role where you will serve as the technical authority and hands-on leader in designing, building, and scaling next-generation Agentic AI solutions for autonomous network operations. You will be instrumental in the technical implementation of the core "AI brain" framework, working across the five-layer architecture of autonomous agents designed for continuous coverage: detection, aggregation, synthesis, investigation, and recommendation.

• 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.