Principal AI Engineer — Enterprise AI Platform Lead

LPL Financial LLC

Austin (TX)

Sur place

USD 134 000 - 223 000

Plein temps

Il y a 10 jours

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Avantages offerts par ce poste

401K matching
health benefits
employee stock options
paid time off
volunteer time off

Résumé du poste

LPL Financial LLC in Austin, TX seeks a highly technical AI engineering leader to design, build, and deploy next-generation AI solutions for advisors and partners. You will work closely with product, data, and business teams to shape an enterprise AI platform and adopt best practices for secure, scalable AI.

Responsibilities include leading the design and deployment of AI/ML solutions, architecting AI-powered apps, and mentoring engineers while driving AI adoption across the organization.

Qualifications

  • 8+ years of software/AI engineering or ML dev experience.
  • Hands-on Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
  • Experience deploying Generative AI and LLM-based solutions (NLP, RAG, AI agents).
  • Cloud experience with AWS/Azure/GCP; scalable AI workloads.

Responsabilités

  • Design, develop, and deploy production-grade AI/ML solutions for advisors and business partners.
  • Architect AI-powered applications using LLMs, generative AI, RAG, and AI agents.
  • Lead end-to-end software lifecycle for AI, including design, test, deployment, monitoring.

Connaissances

Python
TensorFlow
PyTorch
scikit-learn
LangChain

Formation

Bachelor's degree
Master's degree
Ph.D.

Outils

Bedrock
SageMaker
Textract
Comprehend
AWS/Azure/GCP

Description du poste

LPL Financial LLC in Austin, TX seeks a highly technical AI engineering leader to design, build, and deploy next-generation AI solutions for advisors and partners. You will work closely with product, data, and business teams to shape an enterprise AI platform and adopt best practices for secure, scalable AI.

Responsibilities include leading the design and deployment of AI/ML solutions, architecting AI-powered apps, and mentoring engineers while driving AI adoption across the organization.

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