Embedded AI Engineer - Engineering

Page Mechanical Group, Inc.; Northern (KY); On-site; USD 110,000 - 170,000; Full time

Job summary

Gigapower LLC seeks an Embedded AI Engineer to partner with Engineering teams, driving AI-powered improvements across permit design, HLD/LLD, and network planning. You will identify opportunities to automate workflows and deploy AI tools that increase productivity and quality.

Ideal candidates combine strong technical AI skills with the ability to build trusted relationships across engineering functions and translate complex challenges into practical AI capabilities. Remote work option available.

Qualifications

• Bachelor's degree in CS, Data Science, Engineering, or related field, or equivalent.
• 1–3 years in software/analytics/AI solution development.
• Hands-on with LLMs, prompting, RAG, AI agents, or tooling.
• Strong Python skills.
• Experience from concept to deployment and user adoption.
• Knowledge of SQL and structured data.
• Excellent communication; able to explain tech to non-technical audiences.
• Able to work independently in a fast-paced environment.
• Strong problem solving and learning agility.

Responsibilities

• Partner with Engineering, Design, and Permitting to understand workflows and AI opportunities.
• Identify and deliver AI solutions to boost productivity and quality.
• Build and deploy AI automations, RAG apps, intelligent agents, copilots.
• Develop permit package creation, engineering docs, design reviews, standards.
• Create AI capabilities for HLD/LLD development and network planning.
• Collaborate with Data Engineering and AI teams on enterprise platforms.
• Coach engineers on AI tools like Copilot, Claude, and ChatGPT.
• Measure adoption and impact, iterate based on feedback.
• Identify scalable AI opportunities with leadership.

Skills

Python

LLM/AI apps

SQL

Communication

Independent work

Analytical thinking

Problem solving

Education

Bachelor's degree

Tools

RAG applications

Automation workflows

Tool integrations

Job description

Embedded AI Engineer – Engineering

Company: Gigapower LLC
Dept./Org.: Trans./Strategy
Location: Virtual (Remote)
Position Type: PW

Who We Are

Gigapower is building next-generation fiber broadband infrastructure that expands high-speed connectivity to communities across the United States. We are committed to innovation, operational excellence, and leveraging technology to deliver smarter, faster, and more scalable solutions. As an AI-forward organization, we encourage employees at every level to embrace emerging technologies, continuously expand their AI capabilities, and actively incorporate AI tools into their daily work to improve productivity, decision-making, collaboration, and business outcomes.

Position Summary

The Embedded AI Engineer serves as the dedicated AI partner for Gigapower\'s Engineering teams. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve engineering workflows across permit design, high-level design (HLD), low-level design (LLD), network planning, and engineering operations.

Working directly with fiber network engineers, designers, and permitting teams, the Embedded AI Engineer will uncover high-value opportunities to automate manual processes, improve design quality, accelerate project delivery, and enhance decision-making through AI-powered solutions. The ideal candidate combines strong technical expertise with the ability to build trusted relationships across engineering teams and translate complex operational challenges into practical AI capabilities.

This position offers a unique opportunity to own AI strategy and execution for a critical technical function while helping shape the future of broadband network design and engineering at Gigapower.

Key Responsibilities

• Partner with Engineering, Design, and Permitting teams to understand workflows, challenges, and opportunities for AI-driven improvement.
• Identify, prioritize, and deliver AI solutions that improve engineering productivity, design quality, permitting efficiency, and project execution.
• Build and deploy AI-powered automations, retrieval-augmented generation (RAG) applications, intelligent agents, copilots, and internal engineering tools.
• Develop solutions that streamline permit package creation, engineering documentation, design reviews, and standards compliance.
• Create AI-enabled capabilities that assist with HLD and LLD development, engineering analysis, and network planning activities.
• Collaborate with Data Engineering and AI teams on enterprise-scale solutions involving shared platforms, analytics, and operational data.
• Coach engineering stakeholders on effective use of AI tools including Microsoft Copilot, Claude, and ChatGPT.
• Measure solution adoption, quality, and business impact, continuously improving capabilities based on stakeholder feedback.
• Partner with engineering leadership to identify scalable AI opportunities across network design and deployment activities.
• Utilize AI-powered tools to improve personal productivity and accelerate solution development.

Qualifications

• Bachelor\'s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
• 1 to 3 years of experience developing software, analytics, automation, or AI-based solutions.
• Hands-on experience building applications utilizing Large Language Models (LLMs), including prompting, retrieval-augmented generation (RAG), AI agents, automation workflows, or tool integrations.
• Strong proficiency in Python.
• Experience developing solutions from concept through deployment and user adoption.
• Working knowledge of SQL and experience working with structured datasets.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• Demonstrated ability to operate independently and manage competing priorities in a fast-paced environment.
• Strong problem-solving, analytical, and critical-thinking skills.
• Enthusiasm for learning new technologies and understanding complex business operations.

Preferred Qualifications

• Experience in fiber engineering, telecommunications engineering, network design, permitting, outside plant (OSP), or broadband infrastructure.
• Familiarity with high-level design (HLD), low-level design (LLD), fiber routing, network planning, or engineering documentation processes.
• Working knowledge of SQL and experience with structured, geospatial, or GIS-based datasets.
• Experience with Azure, Snowflake, cloud-based analytics platforms, or engineering systems.
• Experience supporting change management, technology adoption, enablement, or training initiatives.

Key Competencies

• Engineering Process Optimization: Identifies opportunities to improve engineering efficiency, quality, and consistency through technology.
• AI Solution Development: Designs and delivers practical AI-powered solutions that create measurable business value.
• Technical Partnership: Builds trusted relationships with engineers, designers, and technical stakeholders to solve complex operational challenges.
• Problem Solving & Analysis: Applies data-driven thinking and technical expertise to address engineering and network design challenges.
• Innovation & Automation: Continuously seeks opportunities to eliminate manual work and improve productivity through automation.
• Communication & Influence: Clearly explains technical concepts, gains stakeholder buy-in, and drives adoption of new capabilities.
• Learning Agility: Quickly learns new technologies, engineering processes, and business domains to maximize impact.

About Us

Gigapower is building the next generation of broadband infrastructure. Through innovative fiber network deployment and strategic partnerships, we are helping expand high-speed connectivity to communities and businesses across the United States. Our mission is to deliver reliable, scalable, and future-ready broadband solutions that empower economic growth, education, healthcare, and digital innovation.

At Gigapower, we value collaboration, accountability, integrity, and continuous improvement. We are committed to creating an environment where employees can contribute meaningful work, develop professionally, and make a lasting impact on the communities we serve. As we continue to grow, we seek talented individuals who are passionate about excellence and eager to help shape the future of connectivity.

EEO

Gigapower is an Equal Opportunity Employer and is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, national origin, ancestry, citizenship status, age, disability, medical condition, genetic information, sex, pregnancy, sexual orientation, gender identity or expression, marital status, veteran status, military status, or any other characteristic protected by applicable federal, state, or local law.

Gigapower is committed to providing reasonable accommodation to qualified individuals with disabilities and to applicants throughout the recruitment process. If you require assistance or accommodation, please notify a member of our Talent Acquisition team.