Software Engineer - AI Agents / Generative AI

PNC Bank • Pittsburgh, PA

1d • Onsite

About The Position

As a Software Engineer in PNC's Data & Analytics organization, you will design, develop, test, and deploy AI-powered applications and agentic systems using large language models, orchestration frameworks, and enterprise data platforms. You will work with data scientists, data engineers, analytics teams, and business stakeholders to translate business needs into scalable AI solutions and operationalize AI models.

The role also includes monitoring production AI solutions, analyzing performance and telemetry, identifying opportunities to optimize them, and implementing improvements to reliability, efficiency, and business outcomes. The position is based in Pittsburgh, Pennsylvania; Dallas, Texas; Strongsville, Ohio; Birmingham, Alabama; or Denver, Colorado. PNC describes itself as an in-office company; candidates are encouraged to discuss workplace expectations with their recruiter and hiring manager.

The general software engineering duties include designing software to address business needs; writing, testing, and deploying code; preparing technical and procedural documentation; and maintaining and debugging software. Employees are expected to focus on customer needs and effectively manage risks in accordance with PNC's Enterprise Risk Management Framework. The position is incentive eligible. PNC does not provide employment visa sponsorship or participate in STEM OPT for this role.

Requirements

• Hands-on experience developing applications in Python.
• Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
• 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.
• Experience deploying and supporting production software solutions.
• Strong problem-solving skills and ability to work collaboratively.
• Roles at this level typically require a university or college degree and at least 2 years of relevant professional experience; a comparable combination of education, job-specific certifications, and experience may be considered instead of a degree.
• Bachelor's degree listed; no required certifications or licenses.

Nice To Haves

• 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.
• Preferred skills include Agile methodology, cloud computing, computer programming, debugging, object-oriented programming, programming languages, software design and development, systems architecture, and version control.
• Competencies include application design and development tools, application maintenance and testing, packaged application integration, system development life cycle, technical troubleshooting, and technical writing/documentation.

Responsibilities

• Design, build, test, and deploy AI agents and Generative AI-driven applications.
• Develop agentic workflows using orchestration frameworks such as LangGraph and LangChain.
• Build integrations with internal and external systems through REST APIs and other service interfaces.
• Implement and support Model Context Protocol (MCP)-based solutions and integrations.
• Develop AI-powered automation 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, model governance, scalability, and software development.
• Design software solutions to address business needs; write, test, and deploy software.
• Prepare technical and procedural documentation, and maintain and debug software.
• Assess and manage risks associated with business objectives and activities in support of PNC's Enterprise Risk Management Framework.

Benefits

• Medical and prescription drug coverage, with a Health Savings Account feature, subject to eligibility.
• Dental and vision options.
• Employee and spouse/child life insurance.
• Short- and long-term disability protection.
• 401(k) with PNC match, pension, and 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.
• Between 15 and 25 vacation days each year, depending on career level and years of service.
• Incentive-eligible compensation based on company, business, and/or individual performance.

What This Job Offers

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