Jobs at PNC Bank

Design, develop, deploy, and support enterprise AI agents and Generative AI applications using LLMs, LangGraph, LangChain, REST APIs, MCP, and enterprise data platforms. Lead agentic AI architecture, production monitoring, observability, troubleshooting, and continuous improvement. Partner with data scientists, architects, security, governance, and business stakeholders to deliver scalable solutions. Mentor engineers, lead code reviews, establish technical standards, and evaluate emerging AI technologies within a regulated financial-services environment.

Leads technical design, development, application support, and production operations for critical payment-processing systems. Troubleshoots complex incidents, supports 24/7 operations, reviews code and testing, documents solutions, guides colleagues, manages privileged-access compliance, remediates risks, and drives reliability improvements across application, infrastructure, cybersecurity, and operational teams.

Leads complex, multi-workstream product initiatives as a principal Product Owner. Owns product vision, strategy, backlog integrity, prioritization, and Scrum team alignment. Coordinates Product, Engineering, Design, Delivery, and other stakeholders; improves execution discipline, transparency, and outcome tracking. Stabilizes programs with fragmented ownership or elevated delivery risk while ensuring customer and business requirements are addressed. Requires substantial Product Owner or Senior Product Manager experience, preferably in payments or financial services.

Leads enterprise AI solution validation and certification, making risk-based release decisions and overseeing post-deployment performance, risk, and safety monitoring. Partners with solution owners and data teams to enforce AI governance requirements, manage remediation, and provide authoritative guidance on validation standards. Directs advanced analytics, data mining, and machine learning initiatives while providing enterprise-wide program leadership and executive-level influence.

Owns the vision, roadmap, backlog, prioritization, and delivery for Treasury Management receivables products. Serves as the customer and business voice for Agile development teams, partnering with technology, UX, operations, and stakeholders. Drives user story creation, sprint planning, backlog refinement, product acceptance, client experience improvements, operational efficiency, modernization, and revenue growth. The role requires strong knowledge of commercial banking receivables, payments, ERP integrations, and Agile product ownership.

Develops and maintains SOC monitoring content, detections, alerts, threat-hunting procedures, playbooks, and documentation. Provides senior investigative guidance and escalates complex security issues, leads security improvement initiatives, ensures compliance with governance requirements, recommends corrective actions, and mentors junior analysts. The role also conducts security assessments, forensic investigations, risk mitigation, and data security activities.

Develop and support Oracle SQL data warehouses, Informatica ETL processes, and data integration workflows for commercial risk applications. Investigate production incidents, perform root-cause analysis, resolve data quality issues, and support application reliability. Collaborate with business partners, architects, data consumers, and support teams on enhancements and modernization initiatives, including automation and distributed data technologies. Perform data validation, reconciliation, testing, migration, and transformation activities.

Leads the design, automation, deployment, monitoring, and security of Azure cloud infrastructure. Builds Infrastructure as Code with Terraform, Bicep, or ARM templates; manages CI/CD pipelines through Azure DevOps and GitHub; and implements monitoring, logging, alerting, incident response, patching, and vulnerability management. Collaborates with engineering, development, architecture, security, and incident management teams to improve system reliability, scalability, performance, and cost efficiency.

Provides senior enterprise architecture leadership, developing strategic roadmaps, architecture standards, governance capabilities, and future-state technology plans. Guides architects, manages risks, resolves complex architecture issues, and aligns business and technology stakeholders. The role supports baseline, target, segment, security, and transition architecture while implementing automated compliance monitoring, standards-as-code, telemetry, drift detection, and governance integrated into engineering and CI/CD workflows.

Leads enterprise architecture strategy, governance, standards, and roadmap development across business, data, application, and technology domains. Guides architects and stakeholder teams in defining target states, transition plans, technical capabilities, and risk controls. Implements modern governance through compliance monitoring, standards-as-code, AI-assisted reviews, telemetry, drift detection, and CI/CD controls. Translates technical concepts for executives, resolves conflicts across teams, and provides architecture consultation aligned with business and technology objectives.

Owns the product vision, strategy, and backlog for AML agentic solutions. Prioritizes work, guides Scrum teams, translates financial crime and compliance needs into product features, and serves as the product decision-maker. Partners with compliance, risk, operations, and technology stakeholders to deliver solutions supporting fraud prevention, customer due diligence, sanctions screening, and financial crime detection.

As a Data Expert, you will translate business requests into analytics solutions, partnering with technology teams and deploying prototypes quickly. Responsibilities include responding to data requests, building analytics solutions, supporting credit decision-making, and leveraging AI and automation tools.

Lead design and delivery of ETL/data integration and data warehouse solutions. Build complex ETL pipelines, APIs, and system integrations (REST/SOAP); ensure data quality, governance, and disaster recovery. Mentor engineers, perform code reviews, support reporting and CRM integrations (OBIEE, Salesforce, Siebel), and use deployment tools and mainframe scheduling (CA7).

Leads a large AI engineering organization responsible for enterprise AI platforms, frameworks, applications, and production solutions. Establishes engineering strategy, architectural standards, delivery practices, governance, security, and cloud-native development. Manages technical leaders, workforce planning, hiring, budgets, and resource allocation while partnering with executives and cross-functional teams to deliver scalable AI and machine learning capabilities.

Leads enterprise AI testing, evaluation, governance, risk monitoring, and incident response for generative and agentic AI solutions. Manages and develops data scientists and AI specialists, establishes performance and safety standards, oversees analytical projects, and partners with executives and technical teams to deliver data-driven solutions.

Execute GenAI Standards of Care (SOC) evaluations for complex use cases, review architectures and data sources, validate testing and evidence, identify and document risks and remediation, provide actionable feedback to solution owners, develop reports/dashboards, and refine governance processes to reduce enterprise-level GenAI risks.

Leads software engineering support for critical retail banking applications within a Site Reliability Center. Designs and develops software solutions, resolves complex technical issues, guides engineers, reviews coding and testing, and prepares technical documentation. Requires OpenShift, Hogan, Dynatrace, and Linux experience, with rotating after-hours on-call support. The role is based in an in-office IT hub and includes team leadership, project coordination, release management, and application troubleshooting.

Leads enterprise Responsible AI governance and oversight, including governance forums, AI solution reviews, risk assessment, stakeholder engagement, executive communications, training processes, and academic partnerships. Directs advanced analytics and data science projects involving large structured and unstructured datasets, provides technical leadership, and partners with architects, analysts, engineers, and visualization experts to deliver data-driven solutions.

Performs data science, mining, modeling, and machine learning analysis to generate business insights and optimize processes. Manages AI governance forum operations, including agendas, decision tracking, documentation, and action follow-up. Partners with Legal, Ethics, HR, Risk, and Technology stakeholders; supports responsible AI reporting, innovation, and intellectual property tracking. Presents findings to management using visualization and data storytelling while maintaining governance and audit records.

Leads site reliability and production support for critical technology services. Oversees complex application and infrastructure operations, incident escalation, monitoring, observability, automation, batch and ETL recovery, and cross-functional engineering collaboration. Provides technical and people leadership, manages development and application support functions, improves operational resiliency, and participates in after-hours on-call leadership for major incidents and customer-impacting events.