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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying enterprise-scale AI applications, particularly in Generative AI and agentic AI solutions. Proficient in Python development, REST API integration, and implementing AI observability practices to enhance operational excellence.
Highest-signal resume keywords
Python DevelopmentGenerative AI Application DesignLangGraph and LangChain ExperienceREST API DevelopmentAI Observability and Monitoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI Application DevelopmentMachine LearningAgent OrchestrationData EngineeringModel Context ProtocolScalable Application DevelopmentPerformance MonitoringPrompt EngineeringVector Databases
Soft Skills
LeadershipMentoringCollaborationProblem-SolvingTechnical Communication
Tools & Technologies
Cloud-Based AI PlatformsMLOpsLLMOpsAI Governance FrameworksTelemetry Tools
Certifications & Qualifications
Job-Specific Certifications
Industry Keywords
Financial ServicesEnterprise EnvironmentsAI Integration FrameworksObservability PracticesComplex Technology Solutions
Tech Stack
Tools & technologiesCloudPySparkPython
About the role
Key responsibilities & impact- Design, develop, deploy, and support enterprise-scale AI agents and Generative AI applications
- Lead architecture and implementation of agentic AI solutions using LangGraph and LangChain
- Develop scalable software integrating LLMs, internal systems, data platforms, and external services
- Build and maintain REST API and Model Context Protocol integrations
- Design AI-powered automation solutions for business processes and data engineering workflows
- Partner with data scientists to operationalize AI solutions and measure business impact
- Establish best practices for AI application development, deployment, monitoring, and lifecycle management
- Analyze observability and telemetry data to evaluate agent performance and improve reliability
- Troubleshoot and resolve complex production issues
- Lead code reviews, mentor junior engineers, and contribute to technical standards
- Collaborate with architecture, security, and governance teams on enterprise and regulatory requirements
- Evaluate emerging technologies and recommend approaches to advance organizational AI capabilities
- Provide detailed technical design and development of software solutions
- Propose software solutions for complex business needs
- Write, test, and deploy software
- Prepare technical and procedural documentation
- Maintain and debug software
Requirements
What you’ll need- Software engineering experience, including experience delivering complex technology solutions
- Advanced proficiency in Python development
- Experience designing and deploying Generative AI, machine learning, or LLM-based applications in production environments
- Hands-on experience with agent orchestration frameworks such as LangGraph and/or LangChain
- Experience developing and integrating REST APIs and distributed services
- Experience implementing AI tools and integrations utilizing Model Context Protocol (MCP) or similar AI integration frameworks
- Experience supporting production systems and driving operational excellence through monitoring, telemetry, and observability practices
- Strong understanding of software architecture, design patterns, and scalable application development
- Demonstrated ability to lead technical initiatives and influence engineering direction
- Experience building agentic AI systems, autonomous workflows, or multi-agent architectures
- Experience developing solutions utilizing PySpark and modern data engineering platforms
- Knowledge of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and AI application architecture
- Experience with cloud-based AI and data platforms
- Experience implementing AI observability, evaluation frameworks, and performance monitoring solutions
- Familiarity with MLOps, LLMOps, and AI governance frameworks
- Experience working within large enterprise environments
- University/college degree or comparable combination of education, job-specific certification(s), and experience may be considered in lieu of a degree
- 3+ years of relevant/direct industry experience
- Financial services industry experience is preferred
- 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
- Between 15 to 25 vacation days each year, depending on career level