Principal Agentic AI Architect

Overview

Note: This is a hybrid role requiring 3 days a week on-site at one of our local offices. Office locations: Allentown, PA; Louisville, KY or Melrose, RI.

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

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