GenAI & Agentic AI Engineer — In-Office Role

PNC

Dallas (TX)

On-site

USD 75,000 - 138,000

Full time

9 days ago

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Job summary

PNC is seeking an Artificial Intelligence Engineer to design, develop, and deploy AI-powered applications across multiple in-branch locations. You will collaborate with data scientists and engineers to operationalize AI models, monitor production AI solutions, and optimize performance to drive measurable business outcomes.

The role emphasizes building autonomous AI systems, integrating with enterprise data platforms, and applying modern orchestration frameworks.

Qualifications

  • Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
  • Experience deploying and supporting production software solutions.
  • Experience building autonomous or agentic AI systems.

Responsibilities

  • Design, build, test, and deploy AI agents and GenAI-driven applications.
  • Develop agentic workflows utilizing LangGraph and LangChain.
  • Build integrations with internal and external systems through REST APIs and other service interfaces.
  • Implement MCP-based solutions and integrations.
  • Develop AI-powered automation solutions for data and analytics use cases.
  • Collaborate with data scientists to operationalize AI models and measure business impact.
  • Monitor deployed AI agents using observability and telemetry tools.
  • Troubleshoot, optimize, and maintain AI applications in production environments.
  • Partner with data engineers and analytics teams to automate and enhance data workflows.
  • Contribute to best practices for AI engineering, model governance, scalability, and software development.

Skills

AI/GenAI
LangGraph
LangChain
REST APIs
PySpark
Cloud-native
Observability
Large language models

Education

Bachelor's

Tools

LangGraph
LangChain
REST APIs
PySpark

Job description

PNC is seeking an Artificial Intelligence Engineer to design, develop, and deploy AI-powered applications across multiple in-branch locations. You will collaborate with data scientists and engineers to operationalize AI models, monitor production AI solutions, and optimize performance to drive measurable business outcomes.

The role emphasizes building autonomous AI systems, integrating with enterprise data platforms, and applying modern orchestration frameworks.

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