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Hourly Advanced Metering Infrastructure Jobs (NOW HIRING)

Eversource

$77K - $86K/yr

The AMI (Advanced Metering Infrastructure) Exception analyst will be responsible for resolving exceptions within the AMI Meter Data Management System, ensuring accurate and timely meter data flow ...

New

Utilities One

Consulting- Gas Utilities

Voorhees, NJ · On-site +1

S., with an initial emphasis on gas metering and AMI (Advanced Metering Infrastructure) initiatives. This role will play a critical part in supporting bid activities, shaping technical and ...

City of Brenham

Public Utilities Dispatcher

Brenham, TX · On-site

$15.06/hr

... Advanced Metering Infrastructure (AMI); performs dispatch tasks as assigned. This position is a non-exempt hourly position with a starting rate of $15.06 per hour. Essential Duties and ...

Honeywell

Lead Field Service Technician

Charlotte, NC · On-site

Learn more about Honeywell: click here THE BUSINESS UNIT Honeywell Industrial Automation Smart Energy business unit provides advanced metering infrastructure and energy management solutions that ...

EnergyUnited

Region Line Engineer

Lexington, NC

Utilize Advanced Metering Infrastructure (AMI) data to improve reliability. * Prepare switching procedures and support emergency restoration efforts. * Collaborate with System Engineering to ...

RecruitTalent LLC.

Project Manager

Santa Clara, CA · On-site

$60 - $70/hr

This individual will oversee initiatives including Advanced Metering Infrastructure (AMI) rollouts, SCADA network upgrades, cybersecurity risk remediation, and enterprise utility software ...

Honeywell

Lead Field Service Technician

Charlotte, NC · On-site

Learn more about Honeywell: click here THE BUSINESS UNIT Honeywell Industrial Automation Smart Energy business unit provides advanced metering infrastructure and energy management solutions that ...

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Hourly Advanced Metering Infrastructure information

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$28

$59

$87

How much do hourly advanced metering infrastructure jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for hourly advanced metering infrastructure in the United States is $59.18, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $68.99 per hour, depending on experience, location, and employer.

What is the difference between Hourly Advanced Metering Infrastructure vs Meter Reader?

AspectHourly Advanced Metering InfrastructureMeter Reader
CredentialsTechnical certifications, utility trainingMinimal; often on-the-job training
Work EnvironmentField and technical settings, often with advanced equipmentFieldwork, manual meter reading at customer sites
Industry UsageUtility companies, smart grid systemsTraditional utility meter reading services

Hourly Advanced Metering Infrastructure involves installing and maintaining digital systems for real-time energy data collection, requiring technical skills. Meter Readers manually read analog or digital meters at customer locations. While both roles serve utility companies, the former is more technical and data-driven, whereas the latter is manual and customer-facing.

What are some common challenges faced by professionals working in hourly advanced metering infrastructure and how can they be addressed?

Professionals in Hourly Advanced Metering Infrastructure (AMI) often encounter challenges related to integrating new metering technologies with existing utility systems, ensuring data accuracy, and troubleshooting communication issues between meters and the central network. Staying up to date with evolving hardware and software standards is essential, as is collaborating closely with IT, field technicians, and utility operations teams. Proactive training, effective cross-department communication, and a strong focus on data integrity help address these challenges and contribute to smoother operations.

What is an hourly advanced metering infrastructure?

An Hourly Advanced Metering Infrastructure (AMI) job typically involves the installation, maintenance, and monitoring of advanced metering systems that record and transmit energy usage data on an hourly basis. Professionals in this role work with smart meters, communication networks, and data management systems to ensure accurate energy consumption measurements and efficient utility operations. Their responsibilities may include troubleshooting equipment, analyzing meter data, and supporting utility customers or internal teams. This job is crucial for energy companies seeking to modernize their grid and provide real-time energy usage information.

What are the key skills and qualifications needed to thrive as an hourly advanced metering infrastructure technician?

To thrive as an Hourly Advanced Metering Infrastructure Technician, you need a solid understanding of electrical systems, data communication networks, and a high school diploma or equivalent, often supplemented by technical training. Familiarity with AMI software, handheld meter reading devices, GIS mapping systems, and sometimes relevant certifications like OSHA safety training is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help technicians accurately install, troubleshoot, and maintain metering equipment. These skills and qualities ensure reliable meter operations, data accuracy, and customer satisfaction within utility services.
More about Hourly Advanced Metering Infrastructure jobs
What cities are hiring for Hourly Advanced Metering Infrastructure jobs? Cities with the most Hourly Advanced Metering Infrastructure job openings:
What are the most commonly searched types of Advanced Metering Infrastructure jobs? The most popular types of Advanced Metering Infrastructure jobs are:
What states have the most Hourly Advanced Metering Infrastructure jobs? States with the most job openings for Hourly Advanced Metering Infrastructure jobs include:
What job categories do people searching Hourly Advanced Metering Infrastructure jobs look for? The top searched job categories for Hourly Advanced Metering Infrastructure jobs are:
Hourly Advanced Metering Infrastructure jobs near you
Infographic showing various Hourly Advanced Metering Infrastructure job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% In-person job distribution, with an average salary of $123,103 per year, or $59.2 per hour.

Principal Agentic AI Architect

PPL Corporation

Allentown, PA • On-site

Full-time

Posted 16 days ago

PPL rating

6.8

Company rating: 6.8 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

44th of 53 rated energy and utility

Job description

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
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 #LI-Hybrid #INDPPL
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.
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

What PPL employees say

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