Principal GenAI Architect & Lead Engineer

PNC

Pittsburgh (Allegheny County)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical and prescription drug coverage
Dental and vision options
401(k) with PNC match
Paid time off including maternity or parental leave
Educational assistance
Comprehensive wellness program

Job summary

PNC is seeking an experienced architect to evolve GenAI solutions focused on RAG and AI-driven automation in Pittsburgh or Dallas. You will collaborate across teams, ensuring scalability and security while mentoring engineers to promote a culture of excellence.

The ideal candidate should have hands-on experience with LLMs, document automation, and familiarity with conversational AI platforms. A comprehensive benefits package and career growth opportunities are offered.

Qualifications

  • Hands-on experience with LLMs, RAG architecture, and agentic systems.
  • Experience building AI-driven enterprise automation solutions.
  • Experience with OCR, NLP, and Intelligent Document Processing.
  • Experience automating document-centric workflows.
  • Experience with conversational AI platforms (e.g., Kore.ai or similar).

Responsibilities

  • Architect and evolve GenAI solutions with a focus on RAG, agentic workflows, and AI-driven automation.
  • Lead design decisions to ensure scalability, resiliency, security, and performance.
  • Translate complex business needs into scalable technical solutions.
  • Mentor engineers across teams on architecture, design, and coding practices.

Skills

Hands-on experience with LLMs
RAG architecture
Experience with OCR, NLP
Intelligent Document Processing
Experience automating document-centric workflows
Conversational AI platforms (e.g., Kore.ai)

Job description

PNC is seeking an experienced architect to evolve GenAI solutions focused on RAG and AI-driven automation in Pittsburgh or Dallas. You will collaborate across teams, ensuring scalability and security while mentoring engineers to promote a culture of excellence.

The ideal candidate should have hands-on experience with LLMs, document automation, and familiarity with conversational AI platforms. A comprehensive benefits package and career growth opportunities are offered.

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