Description

Embedded AI Engineer - Finance

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

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.