Principal Agentic AI Architect

Company Summary Statement : As one of the largest investor-owned utility companies in the United States, PPL Corporation (NYSE: PPL), is committed to creating long-term, sustainable value for our 3.5 million customers, our shareowners and the communities we serve. Our high-performing regulated utilities — PPL Electric Utilities, Louisville Gas and Electric, Kentucky Utilities and Rhode Island Energy — provide an outstanding experience for our customers, consistently ranking among the best utilities in the nation. PPL’s companies are also addressing challenges head-on by investing in new infrastructure and technology that is creating a smarter, more reliable and resilient energy grid. We are committed to doing our part to advance a cleaner energy future and drive innovation that enables us to achieve net-zero carbon emissions by 2050 while maintaining energy reliability and affordability for the customers and communities we serve. PPL is a positive force in the cities and towns where we do business, providing support for programs and organizations that empower the success of future generations by helping to build and maintain strong, diverse communities today. Overview:

PPL is seeking an experienced Agentic AI Architect to lead the design and delivery of enterprise-scale AI platform capabilities and next-generation AI solutions leveraging Generative AI and multi-agent systems. This role will drive AI-enabled automation, decision intelligence, and operational transformation across critical enterprise value streams including Meter-to-Cash, outage management, advanced metering infrastructure (AMI), geospatial systems, customer experience, safety, and regulatory functions.

Operating within the Data & AI organization, this role requires strong cross-functional leadership and close partnership across Enterprise Architecture, Infrastructure, Infrastructure Operations, and the AI Center of Excellence (CoE) to ensure AI solutions are scalable, secure, reliable, and compliant with regulatory standards. The Architect will play a key role in defining and executing the enterprise AI platform strategy, contributing to data and AI governance functions, and enabling reusable patterns, shared services, and governed AI capabilities across the organization.

Responsibilities:

• Lead design and delivery of AI solutions across enterprise value streams such as ZeroOps, Meter-to-Cash, Outage Management, Advanced Metering Infrastructure (AMI), Geospatial systems, Safety, Customer 360, and Asset 360
• Define scalable architecture patterns including agent orchestration, reasoning loops, workflow automation, and human-in-the-loop controls
• Own AI platform and infrastructure architecture, including integration with cloud (Azure), data platforms (Databricks, ADLS, Snowflake), and enterprise systems (SAP, CIS, CRM, OMS, GIS)
• Drive implementation of AI platform capabilities including model lifecycle management, orchestration, observability, monitoring, and performance optimization
• Partner closely with Enterprise Architecture, Infrastructure, Infrastructure Operations, and AI CoE to align on standards, patterns, and operational readiness
• Provide cross-functional leadership across Data & AI, EA, Infrastructure, AI CoE, and business teams to ensure end-to-end solution delivery
• Contribute to data and AI governance functions, including standards, policies, and responsible AI practices
• Drive innovation and transformation initiatives in AI adoption, platform capabilities, and enterprise-scale deployment
• Define reusable AI patterns, frameworks, and shared services to accelerate enterprise adoption.
• Operate within value stream-oriented ways of working, aligning architecture and delivery to business outcomes
• Participate in Enterprise Architecture governance boards, design reviews, and technology standards definition
• Lead cross-functional collaboration to translate business needs into scalable, production-grade AI solutions
• Oversee POCs, pilots, and production deployments while mentoring teams and building enterprise AI capability
• Performs other duties as assigned
• Complies with all policies and standards

Qualifications:

Required Education:

• Bachelor's degree.

Required Experience:

• 15 years' experience.
• Experience in utilities, energy, or other regulated industries.
• Strong expertise in Generative AI, LLMs, and/or multi-agent systems.
• Experience designing and delivering enterprise-scale platforms, including AI/ML or data platforms.
• Hands-on experience with cloud platforms (Azure preferred), APIs, microservices, and distributed architectures
• Experience with AI platform components such as orchestration, model lifecycle management, monitoring, and observability
• Demonstrated cross-functional leadership experience across Data & AI, Enterprise Architecture, Infrastructure, Infrastructure Operations, and AI CoE
• Experience contributing to data and AI governance frameworks, standards, or operating models
• Experience working in value stream-based delivery models and agile ways of working
• Experience participating in architecture governance forums (e.g., Enterprise Architecture review boards)
• Strong understanding of security, data governance, and regulatory compliance frameworks
• Proven ability to influence senior stakeholders and drive enterprise alignment
• Strong communication, problem-solving, and consulting skills

Preferred Qualifications:

• Experience delivering AI use cases across domains such as operations, customer, safety, asset management, outage management, AMI, or geospatial systems
• Exposure to SAP IS-U / S/4 Utilities or similar enterprise platforms
• Experience implementing AI solutions for regulatory use cases (e.g., rate case, audit, compliance automation)
• Familiarity with operational technologies such as OMS, SCADA, GIS, or grid systems.
• Experience building reusable platforms, frameworks, or enterprise AI marketplaces
• Experience leading platform modernization or digital transformation initiatives
• Experience operating in large, matrixed organizations with multiple cross-functional dependencies
• Experience driving innovation programs or AI transformation initiatives at enterprise scale
• Scope & Impact
• Lead architecture and delivery of enterprise AI platform and solution capabilities across multiple value streams
• Shape enterprise AI strategy, roadmap, and target-state architecture
• Drive standardization, governance, and best practices across AI programs
• Enable scalable, reusable AI capabilities across the organization
• Influence platform investment decisions and technology direction
• Partner with senior stakeholders across IT, operations, and regulatory functions
• Act as a key bridge between Data & AI, Enterprise Architecture, Infrastructure, Infrastructure Operations, and AI CoE
• Represent AI architecture within enterprise governance bodies and architecture review boards
• Contribute to enterprise data and AI governance and policy evolution
• Drive innovation and transformation in AI capabilities, adoption, and operating models
• Mentor teams and build organizational capability in AI, platform engineering, and architecture practices