Software Engineer Sr- AI Agents / Generative AI

Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As Software Engineer Sr within PNC's Technology organization, you will be based in Pittsburgh, PA or Cleveland, OH. As a Software Engineer Sr, you will design, develop, and deploy advanced AI agents and Generative AI applications that automate complex workflows and enhance productivity across the organization. You will partner closely with data scientists, data engineers, architects, and business stakeholders to deliver scalable AI solutions capable of solving real-world business problems. This role will focus on building agentic AI systems that leverage large language models (LLMs), agent orchestration frameworks, enterprise data platforms, and API-based integrations. In addition to solution development, you will oversee production AI systems, establish monitoring and observability standards, analyze telemetry and performance metrics, and drive continuous improvement initiatives. You will act as a technical leader and subject matter expert within the team, helping guide architectural decisions and mentoring fellow engineers. Key Responsibilities: • Design, develop, deploy, and support enterprise-scale AI agents and GenAI applications. • Lead the architecture and implementation of agentic AI solutions using frameworks such as LangGraph and LangChain. • Develop scalable software solutions that integrate LLMs, internal systems, data platforms, and external services. • Build and maintain API-driven integrations utilizing REST services and Model Context Protocol (MCP) implementations. • Design AI-powered automation solutions that improve business processes and data engineering workflows. • Partner with data scientists to operationalize AI solutions and measure business impact through performance metrics and business outcomes. • Establish best practices for AI application development, deployment, monitoring, and lifecycle management. • Utilize observability and telemetry data to evaluate AI agent performance, identify optimization opportunities, and enhance solution reliability. • Troubleshoot and resolve complex production issues while ensuring platform stability and scalability. • Lead code reviews, mentor junior engineers, and contribute to technical standards across the team. • Collaborate with architecture, security, and governance teams to ensure AI solutions meet enterprise standards and regulatory requirements. • Evaluate emerging technologies and recommend innovative approaches to advance the organization's AI capabilities. Key Qualifications & Experience: • Software engineering experience, including experience delivering 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 utilizing Model Context Protocol (MCP) or similar AI integration frameworks. • Experience supporting production systems and driving operational excellence through 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. • Experience building agentic AI systems, autonomous workflows, or multi-agent architectures. • Experience developing solutions utilizing PySpark and modern data engineering