Embedded AI Engineer - Finance

Embedded AI Engineer – Finance

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 Finance organization. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve financial planning, forecasting, capital strategy, funding analysis, build-cost approvals, reporting, and decision-making across the business. Working directly with Finance, FP&A, and business leaders, the Embedded AI Engineer will uncover high-value opportunities for automation, insight generation, and workflow optimization while driving adoption of AI throughout the finance function. 

Key Responsibilities

· Partner with Finance teams to understand budgeting, forecasting, capital planning, reporting, and approval workflows. 

· Identify and prioritize opportunities where AI can improve financial analysis, operational efficiency, and decision-making. 

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

· Develop solutions that streamline financial reporting, forecasting, cost analysis, and capital approval processes. 

· Collaborate with Data Engineering and AI teams on enterprise-scale platforms and shared data initiatives. 

· Create tools that improve visibility into spend, capital deployment, project economics, and business performance. 

· Coach stakeholders on effective use of Microsoft Copilot, Claude, ChatGPT, and other AI technologies. 

· Measure adoption, quality, and business outcomes to continuously improve delivered solutions. 

· Reduce manual effort through workflow automation and intelligent reporting capabilities. 

· Identify scalable AI use cases that can be deployed across multiple business functions. 

Qualifications

· Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Finance, or a related discipline, or equivalent experience. 

·1 to 3 years of experience developing software, analytics, automation, data, or AI-based solutions. 

· Hands-on experience with LLMs, prompt engineering, RAG, AI agents, or automation workflows. 

· Strong proficiency in Python. 

· Working knowledge of SQL and experience with structured datasets. 

· Ability to take solutions from concept through deployment and user adoption. 

· Strong communication and stakeholder management skills. 

· Self-starter mindset with comfort operating in fast-paced and ambiguous environments. 

· Strong analytical, problem-solving, and critical-thinking skills. 

· Enthusiasm for learning complex financial and business processes. 

Preferred Qualifications

· Experience in corporate finance, FP&A, capital planning, financial analytics, or infrastructure cost estimation. 

· Experience supporting telecommunications, construction, utilities, infrastructure, or capital-intensive industries. 

· Experience with Azure, Snowflake, cloud analytics platforms, or modern data environments. 

· Experience with change management, user enablement, training, or technology adoption initiatives. 

Key Competencies

· Financial Process Optimization: Improves efficiency, accuracy, and scalability of finance operations through technology. 

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

· Business Partnership: Builds trusted relationships with finance and operational stakeholders. 

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

· Automation & Innovation: Identifies opportunities to eliminate manual effort and improve productivity. 

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

· Learning Agility: Quickly develops expertise in financial processes, technologies, 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.