Software Engineer - AI Agents / Generative AI

PNC•Strongsville, OH
•$75,000 - $137,500•Onsite

About The Position

As a Software Engineer in PNC's technology organization, you will support the Data & Analytics organization by designing, developing, and deploying AI-powered applications and agentic systems using large language models, orchestration frameworks, and enterprise data platforms. You will work with data scientists, data engineers, and business stakeholders to turn business needs into scalable AI solutions. The role also involves monitoring production AI solutions, reviewing performance and telemetry metrics, identifying optimization opportunities, and making enhancements that improve reliability, efficiency, and business outcomes. The position is based in Pittsburgh, PA; Dallas, TX; Strongsville, OH; Birmingham, AL; or Denver, CO. PNC describes itself as an in-office company and encourages candidates to discuss workplace expectations with their recruiter and hiring manager. PNC will not provide employment visa sponsorship or participate in STEM OPT for this position. The role develops, tests, implements, documents, maintains, and debugs software solutions designed to address business needs. Successful employees are expected to focus on customers and manage risks in alignment with PNC's Enterprise Risk Management Framework. The role is incentive eligible, with payment based on company, business, and/or individual performance.

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.
  • Typically, a university or college degree and at least 2 years of relevant professional experience; a comparable combination of education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
  • Bachelor's degree listed as the education requirement.

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.
  • Skills in Agile methodology, cloud computing, computer programming, debugging, object-oriented programming, programming languages, software design and development, systems architecture, and version control.

Responsibilities

  • Design, build, test, and deploy AI agents and Generative AI 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 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, model governance, scalability, and software development.
  • Develop, test, and implement software solutions; design solutions for business needs; write, test, and deploy code; prepare technical and procedural documentation; and maintain and debug software.
  • Apply customer-focused practices and assess and manage risks 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.
  • 15 to 25 vacation days each year depending on career level and years of service, subject to eligibility.
  • Incentive-eligible compensation based on company, business, and/or individual performance.
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