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Embedded AI Engineer – Construction (Project Management)

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 Construction Project Management organization. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve project planning, scheduling, forecasting, coordination, reporting, and execution across Gigapower's fiber deployment programs. Working directly with project managers and construction leaders, the Embedded AI Engineer will uncover high-value opportunities, build practical AI solutions, and drive AI adoption throughout the organization. 

Key Responsibilities

·       Partner with Construction Project Management teams to understand planning, scheduling, forecasting, coordination, and execution workflows. 

·       Identify and prioritize opportunities where AI can improve project delivery, visibility, efficiency, and decision-making. 

·       Build and deploy AI-powered automations, RAG applications, agents, copilots, and internal tools. 

·       Develop solutions that enhance project scheduling, milestone tracking, risk identification, resource planning, and reporting. 

·       Collaborate with Data Engineering and AI teams on enterprise-scale solutions and platform initiatives. 

·       Coach stakeholders on effective use of AI tools including Microsoft Copilot, Claude, and ChatGPT. 

·       Measure solution adoption, quality, and business outcomes and continuously improve capabilities. 

·       Reduce administrative burden through workflow automation and intelligent reporting solutions. 

·       Identify repeatable solutions that can be scaled across additional Gigapower business functions. 

·       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 with Azure, Snowflake, GIS data, change management, enablement, or user training.

Key Competencies

·       Project Planning & Execution: Understands project delivery processes and develops solutions that improve planning, forecasting, and execution. 

·       AI Solution Development: Designs and delivers practical AI-powered capabilities that create measurable business value. 

·       Business Partnership: Builds trusted relationships with operational stakeholders and aligns solutions to business priorities. 

·       Process Optimization: Identifies inefficiencies and develops scalable approaches to improve operational performance. 

·       Data-Driven Decision Making: Uses data, analytics, and AI to generate actionable insights and recommendations. 

·       Communication & Influence: Explains technical concepts clearly and drives adoption across diverse stakeholder groups. 

·       Learning Agility: Quickly develops expertise in new technologies, processes, and business domains. 

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.