Principal Agentic AI Architect

PPL Corporation•Louisville, KY

1d•Hybrid

About The Position

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. This position combines deep technical expertise in AI/ML and platform architecture with business acumen and leadership, translating complex business needs into production-grade AI solutions that deliver measurable value. The role also operates within value stream-based delivery models, actively contributes to enterprise governance through architecture review boards and standards definition, and drives innovation and transformation in AI capabilities across the enterprise.

Requirements

Bachelor's degree.
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

Nice To Haves

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

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