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Principal AI Engineer

DroisysDallas, TX🇺🇸United StatesPosted 20 Jul 2026

Why This Role Stands Out

This Principal AI Engineer role offers a fantastic opportunity to lead the development of cutting-edge LLM solutions in a dynamic hybrid environment, ideal for experienced AI professionals looking to drive innovation in enterprise-grade systems. You'll thrive here if you possess strong expertise in LLMs, prompt engineering, and AWS, with a passion for transforming complex documents into actionable insights within regulated industries. Apply now to shape the future of AI within a forward-thinking company!

Quick Overview

Work Type
Hybrid
Level
Leader

Job Description

Principal AI Engineer

Introduction:

As a Principal AI Engineer, you will be based in Dallas. This role requires expertise in building and deploying Large Language Model (LLM)-powered, production-grade systems within regulated enterprise environments. You will be responsible for end-to-end ownership across AI pipeline architecture, model integration, document processing, observability instrumentation, and real-world deployment within financial services compliance and governance frameworks.

Responsibilities:

  • Design and deploy LLM-powered solutions using Amazon Bedrock, Azure OpenAI, and direct API integration.
  • Build infrastructure for routing and managing LLM service calls, develop prompt engineering and completion pipelines, and integrate retrieval-augmented generation (RAG) frameworks.
  • Design and implement AI pipeline architecture for document conversion, ingestion, and analysis.
  • Transform complex, unstructured corporate documents into structured data for LLM reasoning.

Requirements:

Required Skills:

  • Experience with Large Language Models (LLMs).
  • Proficiency in Artificial Intelligence technologies.
  • Knowledge of Prompt Engineering.
  • Experience with Amazon Web Services (AWS).
  • API integration skills.

Preferred Skills:

  • Previous experience working with financial services compliance and governance frameworks.
  • Hands-on experience in building and deploying production-grade AI systems.
  • Familiarity with Azure OpenAI.

Skills

AWS
Azure
LLM

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