Artificial Intelligence Software Engineer

PNC • Strongsville, OH

2d • $75,000 - $137,500 • Onsite

About The Position

As an Artificial Intelligence Engineer within PNC's technology organization, this role supports the Data & Analytics organization by designing, developing, testing, and deploying AI-powered applications and agentic systems using large language models, orchestration frameworks, and enterprise data platforms. The engineer works with data scientists, data engineers, analytics teams, and business stakeholders to translate needs into scalable AI solutions and operationalize models.

The position also monitors production AI solutions, reviews performance and telemetry metrics, identifies opportunities for optimization, and implements improvements to reliability, efficiency, and business outcomes. General software responsibilities include designing solutions for business needs, writing and testing code, deploying and maintaining software, debugging issues, and preparing technical and procedural documentation.

The role is based in Pittsburgh, Pennsylvania; Dallas, Texas; Strongsville, Ohio; Birmingham, Alabama; or Denver, Colorado. PNC describes itself as an in-office company and encourages candidates to discuss workplace expectations with their recruiter and hiring manager. Employment visa sponsorship and STEM OPT participation are not available for this position.

Requirements

• 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, a university or college degree and 2 or more years of relevant professional experience; a comparable combination of education, job-specific certifications, and experience, including military service, may be considered instead of a degree.
• Bachelor's degree listed under education requirements.

Nice To Haves

• 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.
• Knowledge or experience in Agile methodology, cloud computing, computer programming, debugging, object-oriented programming, programming languages, software design and development, systems architecture, and version control.
• Competencies in application design, architecture, application development tools and maintenance, application 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.
• Integrate 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 improve data workflows.
• Contribute to best practices for AI engineering, model governance, scalability, and software development.
• Develop, test, and implement software solutions to address business needs.
• Write code, test and deploy software, 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 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, depending on eligibility.
• 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.

What This Job Offers

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