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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI-driven applications and agentic workflows using orchestration frameworks like LangGraph and LangChain. Proficient in integrating AI solutions with REST APIs and operationalizing AI models to enhance data workflows and business impact.
Highest-signal resume keywords
Python Application DevelopmentAI And Machine Learning SolutionsLangGraph And LangChain FrameworksREST API DevelopmentModel Context Protocol (MCP) Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAI DevelopmentMachine LearningGenerative AIREST APIsLangGraphLangChainPySparkData Engineering PipelinesSoftware Development
Soft Skills
Problem-SolvingCollaboration
Tools & Technologies
Observability ToolsTelemetry ToolsOperational Analytics
Industry Keywords
AI EngineeringModel GovernanceScalabilityCloud-Native DevelopmentEnterprise Environments
Tech Stack
Tools & technologiesCloudPySparkPython
About the role
Key responsibilities & impact- Design, build, test, and deploy AI agents and GenAI-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 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
- 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
- Support PNC's Data & Analytics organization by developing AI-powered applications and agentic systems leveraging LLMs, orchestration frameworks, and enterprise data platforms
- Translate business needs into scalable AI solutions with data scientists, data engineers, and business stakeholders
- Analyze performance and telemetry metrics, identify optimization opportunities, and implement enhancements
- Develop, test, implement, document, maintain, and debug software solutions
Requirements
What you’ll need- 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 in a collaborative environment
- Experience with PySpark and/or data engineering pipelines preferred
- Familiarity with cloud-native development and AI services preferred
- Experience with observability, monitoring, telemetry, and operational analytics preferred
- Experience working in large-scale enterprise environments preferred
- University / college degree typically required, or a comparable combination of education, job-specific certification(s), and experience may be considered in lieu of a degree
- 2+ years of relevant professional experience
- No employment visa sponsorship or STEM OPT participation
Benefits
Comp & perks- Medical/prescription drug coverage with a Health Savings Account feature
- 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 plan
- Dependent care reimbursement account
- Back-up child/elder care
- Adoption, surrogacy, and doula reimbursement
- Educational assistance, including select programs fully paid
- Wellness program with financial incentives
- Maternity and/or parental leave
- Up to 11 paid holidays each year
- 9 occasional absence days each year, unless otherwise required by law
- 15 to 25 vacation days each year, depending on career level
- Additional paid time off based on years of service
- Reasonable accommodations for applicants and qualified individuals with disabilities
