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
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
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