Principal AI Engineer

We are seeking a Principal AI Engineer with deep, hands‑on experience in Large Language Models (LLMs) to lead the design, development, and deployment of enterprise‑grade AI‑powered automation systems across the organization.

This role goes beyond experimentation. You will own and deliver production‑scale AI solutions, analyze complex internal workflows, identify high‑value automation opportunities, and architect intelligent systems that materially improve efficiency, accuracy, and scalability.

This position is ideal for a seasoned engineer (10+ years) who combines strong technical depth, architectural judgment, and a product mindset, and who enjoys building practical, high‑impact AI systems used at scale.

KEY RESPONSIBILITIES:

• Lead the design, development, and deployment of LLM‑based automation solutions across multiple business functions.
• Work closely with cross‑functional teams to define problem statements, data requirements, system boundaries, and solution approaches.
• Architect and implement end‑to‑end LLM systems, including:
• Prompt pipelines
• Agent‑based architectures
• Retrieval‑Augmented Generation (RAG) systems
• Internal AI services and APIs
• Integrate commercial and open‑source LLMs (e.g., OpenAI, Anthropic, Databricks, open‑source models) into enterprise systems and products.
• Drive model evaluation, prompt optimization, and system reliability improvements based on real‑world usage.
• Establish and maintain monitoring, logging, and evaluation frameworks for LLM‑driven applications.
• Partner with product, operations, security, and engineering teams to map workflows and identify high‑ROI automation opportunities.
• Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and governance.
• Act as a technical mentor and thought leader, setting best practices for LLM engineering and applied AI.
• Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research—and translate them into pragmatic solutions.