GenAI & Agentic AI Engineer

PNC; Pittsburgh (Allegheny County); On-site; USD 110,000 - 160,000; Full time

Job summary

PNC seeks an Artificial Intelligence Engineer to design, develop, and deploy AI-powered applications and agentic systems across our technology organization. You will work with data scientists, engineers, and stakeholders to translate business needs into scalable AI solutions, leveraging LLMs and enterprise data platforms.

You will monitor production AI solutions, analyze performance metrics, and implement enhancements to improve reliability, efficiency and business outcomes across multiple

Qualifications

• Experience with Python for AI/ML apps.
• Knowledge of LangGraph and LangChain orchestration.
• Experience building or integrating AI/LLM-based solutions.

Responsibilities

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

Skills

Python

LangGraph

LangChain

REST APIs

MCP concepts

Problem solving

Tools

LangGraph

LangChain

Job description

PNC seeks an Artificial Intelligence Engineer to design, develop, and deploy AI-powered applications and agentic systems across our technology organization. You will work with data scientists, engineers, and stakeholders to translate business needs into scalable AI solutions, leveraging LLMs and enterprise data platforms.

You will monitor production AI solutions, analyze performance metrics, and implement enhancements to improve reliability, efficiency and business outcomes across multiple