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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI-driven applications, with a strong focus on agentic workflows and integrations using orchestration frameworks. Proficient in Python programming, REST API development, and operational analytics to enhance data workflows and measure business impact.
Highest-signal resume keywords
AI Application DevelopmentAgent Orchestration FrameworksPython ProgrammingREST API DevelopmentObservability and Telemetry
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI SolutionsMachine LearningGenerative AIModel Context Protocol (MCP)PySparkCloud-Native DevelopmentAgile MethodologyObject-Oriented ProgrammingSoftware DevelopmentTechnical Writing
Tools & Technologies
LangGraphLangChainTelemetry ToolsData Engineering PipelinesApplication Development Tools
Industry Keywords
Enterprise EnvironmentsApplication MaintenanceApplication TestingSystems ArchitectureTechnical Troubleshooting
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
- Analyze performance, reliability, usage patterns, and telemetry metrics
- Troubleshoot, optimize, and maintain AI applications in production
- 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 software solutions addressing business needs
- Write code, test, and deploy software
- Prepare technical and procedural documentation
- Maintain and debug software
Requirements
What you’ll need- 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
- 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
- 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
- Agile Methodology, Cloud Computing, Computer Programming, Debugging, Object-Oriented Programming, Programming Languages, Software Design, Software Development, Systems Architecture, Version Control
- Application Design, Architecture, Application Development Tools, Application Maintenance, Application Testing, Packaged Application Integration, System Development Life Cycle, Technical Troubleshooting, Technical Writing/Documentation
- 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
- Robust 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 and years of service
