DescriptionEmbedded AI Engineer - Construction (Field Installation)Company: Gigapower LLC
Dept./Org.: Trans./Strategy
Location: Virtual (Remote)
Position SummaryThe Embedded AI Engineer serves as the dedicated AI partner for Gigapower's Construction Field Installation organization. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve field operations, installation quality, workforce productivity, and execution efficiency across active fiber construction programs.
Working directly with construction and field installation teams, the Embedded AI Engineer will gain a deep understanding of operational workflows, identify high-value opportunities for automation and optimization, and build practical AI solutions ranging from lightweight automations to enterprise-scale applications. The ideal candidate combines strong technical capabilities with business partnership skills and demonstrates enthusiasm for leveraging emerging AI technologies to solve real-world operational challenges.
This position offers a unique opportunity to help shape AI adoption across a critical business function while receiving mentorship from experienced technical leaders and contributing to the growth of Gigapower's AI capabilities.
Key Responsibilities- Partner closely with Construction Field Installation leaders and field operations teams to understand workflows, challenges, and opportunities for AI-driven improvement.
- Identify, prioritize, and deliver AI solutions that improve operational efficiency, quality, execution performance, and workforce productivity.
- Design, develop, test, and deploy AI-powered applications including automations, retrieval-augmented generation (RAG) solutions, intelligent agents, and internal productivity tools.
- Collaborate with Data Engineering, Analytics, and AI teams to support larger-scale initiatives requiring shared platforms, enterprise data, or cross-functional coordination.
- Promote adoption of AI technologies through user coaching, enablement, training, and ongoing support.
- Measure solution effectiveness through usage metrics, quality indicators, and business impact analysis.
- Gather feedback from stakeholders and continuously refine deployed solutions to maximize value.
- Identify opportunities to scale successful AI solutions and best practices across additional business functions.
- Utilize AI-powered tools to increase individual productivity, improve solution development, and accelerate business outcomes.
- Support strategic initiatives and continuous improvement efforts across construction and field operations.
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 supporting construction field installation, field operations, or field service organizations.
- Knowledge of outside plant (OSP), fiber broadband, telecommunications, utility, or construction operations.
- Experience with Azure, Snowflake, or cloud-based data platforms.
- Experience working with geospatial data and GIS-related systems.
- Background in organizational change management, user enablement, training, or technology adoption programs.
Key Competencies- AI Solution Development: Designs and delivers practical AI-powered solutions that create measurable business value.
- Business Partnership: Builds strong relationships with operational stakeholders and translates business challenges into technical solutions.
- Innovation & Automation: Continuously identifies opportunities to streamline processes and improve efficiency through technology.
- Communication & Influence: Effectively communicates technical concepts and drives adoption across diverse stakeholder groups.
- Learning Agility: Quickly develops expertise in new business domains, technologies, and operational processes.
- AI Adoption & Enablement: Promotes responsible and effective use of AI technologies to improve individual and team performance.
- Problem Solving: Uses data-driven analysis and creative thinking to resolve complex operational challenges.
