Artificial Intelligence Software Engineer

Join PNC Financial Services Group in Birmingham, AL (onsite) to design, build, test, and deploy AI-powered applications and agentic systems using LLMs and enterprise data platforms. This role focuses on practical engineering work that turns modern AI capabilities into reliable production solutions, supported by strong observability and operational monitoring.

Responsibilities

• Design, build, test, and deploy AI agents and GenAI-driven applications.
• Develop agentic workflows using orchestration frameworks such as LangGraph and LangChain.
• Build integrations with internal and external systems using REST APIs and other service interfaces.
• Implement and support Model Context Protocol (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 to evaluate performance, reliability, and usage patterns.
• 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, including model governance, scalability, and software development.
• Develop, test, implement, and maintain software solutions; write code, tests, and deployment updates.
• Prepare technical and procedural documentation required for software.
• Maintain and debug software to ensure ongoing reliability.

Requirements

• 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.
• Experience with PySpark and/or data engineering pipelines.
• Familiarity with cloud-native development and AI services.
• Experience with observability, monitoring, telemetry, and operational analytics.
• Experience working in large-scale enterprise environments.
• Hands-on experience developing applications in Python.
• Experience with agent orchestration frameworks such as LangGraph and/or LangChain.
• Experience developing and consuming REST APIs.
• Knowledge of Model Context Protocol (MCP) concepts and AI tool integrations.
• Strong problem-solving skills and ability to work collaboratively.
• Typically requires a university/college degree and 2+ years of relevant professional experience; Bachelor's degree is listed.

Technologies

AI, Machine learning, Generative AI, LLMs, LangGraph, LangChain, Model Context Protocol (MCP), REST APIs, Python, PySpark, Observability, Telemetry, Cloud-native development

Compensation and Incentives

Base Salary: $75,000.00 – $137,500.00 per year.
This role is incentive eligible, with payment based upon company, business, and/or individual performance.

Benefits

• Medical/prescription drug coverage with a Health Savings Account feature
• Dental and vision options
• Employee and spouse/child life insurance
• Short and long-term disability protection
• 401(k) with PNC match
• Pension
• Stock purchase plans
• Dependent care reimbursement account
• Back-up child/elder care
• Adoption, surrogacy, and doula reimbursement
• Educational assistance (including select programs fully paid)
• Robust wellness program with financial incentives
• Maternity and/or parental leave
• Up to 11 paid holidays each year
• 9 occasional absence days each year, unless otherwise required by law
• Between 15 to 25 vacation days each year, depending on career level
• Years of service

Preferred Skills

• Agile Methodology
• Cloud Computing
• Computer Programming
• Debugging
• Object-Oriented Programming (OOP)
• Programming Languages
• Software Design
• Software Development
• Systems Architecture
• Version Control

Competencies

• Application Design
• Architecture
• Application Development Tools
• Application Maintenance
• Application Testing
• Packaged Application Integration
• System Development Life Cycle
• Technical Troubleshooting
• Technical Writing/Documentation

How PNC Describes Expectations

• Customer Focused: knowledgeable of values and practices aligned to customer needs and satisfaction, and able to leverage that information in creating customized customer solutions.
• Managing Risk: assessing and effectively managing risks associated with business objectives and activities to ensure they align with PNC's Enterprise Risk Management Framework.

Application window: Generally expected to be posted for two business days from 11/06/2026, though it may be longer at business discretion.