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Internship Advanced Metering Infrastructure Jobs

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 ...

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 ...

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 ...

Aquent

Business Analyst III

Houston, TX · On-site

$50 - $57/hr

... gas metering infrastructure and systems across multiple states. This role is part of a larger ... Advanced Metering Project stakeholder changes across workstreams. Skills: • Verbal and written ...

City of Brenham

Public Utilities Dispatcher

Brenham, TX · On-site

$15.06/hr

Monitors and Operates Advanced Metering Infrastructure (AMI) and reports alarms to the appropriate personnel; * Notify Police and Fire Departments of road closures due to construction activity;

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

As of Aug 6, 2026, the average hourly pay for internship advanced metering infrastructure in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship in Advanced Metering Infrastructure, and why are they important?

To thrive in an Internship Advanced Metering Infrastructure role, you need a background in electrical engineering, computer science, or a related field, as well as foundational knowledge of metering systems and smart grid concepts. Familiarity with data analysis tools, AMI software platforms, and possibly programming languages like Python or SQL is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns contribute meaningfully to team projects and technical challenges. These skills ensure accurate data management, successful implementation of AMI systems, and valuable support to the organization's energy management initiatives.

What types of projects or tasks can I expect to work on during an Advanced Metering Infrastructure (AMI) internship?

As an intern in Advanced Metering Infrastructure, you will likely be involved in projects that support the deployment, maintenance, and analysis of smart metering systems. Typical tasks can include assisting with data collection and validation, supporting field teams during meter installations, and analyzing meter data for quality and accuracy. You may also collaborate with engineers and IT specialists to troubleshoot technical issues or help improve system performance. This hands-on experience provides exposure to both technical and operational aspects of AMI, offering valuable insight into the energy utility sector.

What is an internship in Advanced Metering Infrastructure (AMI)?

An Internship in Advanced Metering Infrastructure (AMI) is a temporary position where students or recent graduates gain hands-on experience working with technologies used for the automated measurement and communication of energy consumption data. Interns typically support the implementation, maintenance, and analysis of AMI systems, which include smart meters and related communication networks. This role offers exposure to utility operations, data analytics, and modern energy management practices, helping interns develop valuable technical and industry-specific skills. Such internships often serve as a stepping stone to full-time roles in the energy or utilities sector.

What is the difference between Internship Advanced Metering Infrastructure vs Internship Meter Data Analyst?

AspectInternship Advanced Metering InfrastructureInternship Meter Data Analyst
CredentialsRelevant technical certifications, basic engineering knowledgeData analysis skills, basic statistics, and possibly certifications in data tools
Work EnvironmentFieldwork, utility company sites, technical teamsOffice-based, data centers, or remote work with data teams
Industry UsageUtility companies, smart grid projects, infrastructure deploymentEnergy sector, data analysis departments, utility analytics

Internship Advanced Metering Infrastructure focuses on deploying and maintaining smart meters and related infrastructure, often involving fieldwork and technical skills. In contrast, Internship Meter Data Analyst emphasizes analyzing data collected from meters to support decision-making. Both roles are essential in the utility industry but serve different functions within smart grid projects.

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Internship Advanced Metering Infrastructure jobs near you
Infographic showing various Internship Advanced Metering Infrastructure job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Principal Agentic AI Architect

PPL Corporation

Louisville, KY • Hybrid

Other

Posted 15 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
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
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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