Software Engineer Lead - Core AI

PNC

Quick summary

Work type
On-site
Location
Farmers Branch, TX · Pittsburgh, PA
Posted
4 days ago
Nearby
84 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $200k
$154k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $162,687–$236,675.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 150 open roles on FindRole.

Listed pay typically runs $86,250–$185,900 across 57 roles with salary data.

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At a glance

TL;DR · Software Engineer Lead - Core AI

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As a Software Engineer Lead in PNC's Enterprise Technology organization, you will lead the design and development of NLP modules and conversational AI capabilities using Python and Java to support core AI product initiatives. You will drive experimentation with language models for high-quality intent recognition and scalable AI components while providing hands-on technical leadership and mentorship to your team. Your responsibilities include guiding best practices in model development, coding standards, and solution architecture across core AI systems, as well as overseeing the integration of AI services into enterprise platforms like OCP to ensure performance and reliability aligned with long-term product strategy.

Skills

Python Java AWS CI/CD OCP NLP Conversational AI GenAI Docker Kubernetes

What you'll do

  • Lead the design and development of NLP modules using Python and Java.
  • Refine language models to ensure high-quality intent recognition and dialog flows.
  • Provide technical leadership and mentorship to the engineering team on AI projects.
  • Ensure performance, reliability, and alignment with long-term strategy for AI services.
  • Integrate AI capabilities into enterprise platforms like OCP.

What we're looking for

  • Lead the design and development of NLP modules and conversational AI capabilities using Python and Java.
  • Drive experimentation and refinement of language models for high-quality intent recognition and dialog flows.
  • Provide hands-on technical leadership and mentorship to engineering teams in model development and coding standards.
  • Ensure performance, reliability, and alignment with long-term product strategy during integration of AI services into enterprise platforms.
  • Oversee the application development and continuous improvement of core AI systems across multiple projects.

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