Software Engineer Sr- AI Agents / Generative AI

PNC • Strongsville, OH

1d • $86,250 - $158,125 • Onsite

About The Position

As a Software Engineer Sr within PNC's Technology organization, you will design, develop, deploy, and support advanced AI agents and Generative AI applications that automate complex workflows and enhance productivity. You will collaborate with data scientists, data engineers, architects, and business stakeholders to deliver scalable AI solutions for business problems. The role focuses on agentic AI systems using large language models, orchestration frameworks, enterprise data platforms, and API-based integrations.

You will oversee production AI systems, establish monitoring and observability standards, assess telemetry and performance metrics, and drive continuous improvement. As a technical leader and subject matter expert, you will guide architectural decisions, mentor engineers, lead code reviews, and help define technical standards. You will also collaborate with architecture, security, and governance teams to meet enterprise standards and regulatory requirements, and evaluate emerging technologies to advance PNC's AI capabilities.

The position is based in Pittsburgh, Pennsylvania, or Cleveland, Ohio. PNC is an in-office company. The role is incentive eligible, with incentive payment based on company, business, and/or individual performance. PNC will not provide employment visa sponsorship or participate in STEM OPT for this position.

Requirements

• Software engineering experience, including delivery of complex technology solutions.
• Advanced proficiency in Python development.
• Experience designing and deploying Generative AI, machine learning, or LLM-based applications in production environments.
• Hands-on experience with agent orchestration frameworks such as LangGraph and/or LangChain.
• Experience developing and integrating REST APIs and distributed services.
• Experience implementing AI tools and integrations using MCP or similar AI integration frameworks.
• Experience supporting production systems and applying monitoring, telemetry, and observability practices.
• Strong understanding of software architecture, design patterns, and scalable application development.
• Demonstrated ability to lead technical initiatives and influence engineering direction.
• A university or college degree and 3 or more years of relevant or direct industry experience are typical for roles at this level; a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree.
• Bachelor's degree listed as the education requirement.

Nice To Haves

• Experience building agentic AI systems, autonomous workflows, or multi-agent architectures.
• Experience developing solutions with PySpark and modern data engineering platforms.
• Knowledge of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and AI application architecture.
• Experience with cloud-based AI and data platforms.
• Experience implementing AI observability, evaluation frameworks, and performance monitoring solutions.
• Familiarity with MLOps, LLMOps, and AI governance frameworks.
• Experience working within large enterprise environments.
• Financial services industry experience is preferred.
• Certifications are often desired.
• Preferred skills include Application Development, Business Management, Customer Solutions, Design, Generative AI Agents, Group Problem Solving, LangChain, LangGraph, Process Improvements, Python, Release Management, Software Solutions, and User Experience (UX) Design.

Responsibilities

• Design, develop, deploy, and support enterprise-scale AI agents and Generative AI applications.
• Lead architecture and implementation of agentic AI solutions using frameworks such as LangGraph and LangChain.
• Develop scalable software that integrates LLMs, internal systems, data platforms, and external services.
• Build and maintain API-driven integrations using REST services and Model Context Protocol (MCP) implementations.
• Design AI-powered automation to improve business processes and data engineering workflows.
• Partner with data scientists to operationalize AI solutions and measure business impact using performance metrics and business outcomes.
• Establish best practices for AI application development, deployment, monitoring, and lifecycle management.
• Use observability and telemetry data to evaluate AI agent performance, identify optimization opportunities, and improve reliability.
• Troubleshoot and resolve complex production issues while ensuring platform stability and scalability.
• Lead code reviews, mentor junior engineers, and contribute to team technical standards.
• Collaborate with architecture, security, and governance teams to ensure AI solutions meet enterprise standards and regulatory requirements.
• Evaluate emerging technologies and recommend approaches to advance organizational AI capabilities.
• Provide detailed technical design and development of software solutions using existing and emerging technology platforms.
• Propose and design software solutions for complex business needs; write, test, and deploy code; prepare technical and procedural documentation; and maintain and debug software.
• Focus on customer needs and satisfaction when making business decisions and creating customer solutions.
• Assess and manage risks associated with business objectives and activities in alignment with PNC's Enterprise Risk Management Framework.

Benefits

• Medical and prescription drug coverage, with a Health Savings Account feature, for eligible full-time employees.
• Dental and vision options.
• Employee and spouse/child life insurance.
• Short- and long-term disability protection.
• 401(k) with PNC match.
• Pension plan.
• Stock purchase plans.
• Dependent care reimbursement account.
• Back-up child and elder care.
• Adoption, surrogacy, and doula reimbursement.
• Educational assistance, including select fully paid programs.
• Wellness program with financial incentives.
• Maternity and/or parental leave, depending on eligibility.
• Up to 11 paid holidays each year, depending on eligibility.
• 9 occasional absence days each year, unless otherwise required by law, depending on eligibility.
• 15 to 25 vacation days each year, depending on career level and eligibility.
• Additional paid time off based on years of service.
• Incentive-eligible compensation based on company, business, and/or individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior