Embedded AI Engineer - Finance

Embedded AI Engineer to serve as the dedicated AI partner for the Finance organization, building and deploying AI-powered solutions that improve planning, forecasting, reporting, and decision-making.

Responsibilities

• Work with Finance teams to understand budgeting, forecasting, capital planning, reporting, and approval workflows
• Spot and rank use cases where AI can improve financial analysis, operational efficiency, and decision-making
• Design and deploy AI-powered automations, RAG applications, agents, copilots, and internal productivity tools
• Streamline financial reporting, forecasting, cost analysis, and capital approval processes through solution development
• Collaborate with Data Engineering and AI teams on enterprise-scale platforms and shared data initiatives
• Build tools that increase visibility into spend, capital deployment, project economics, and business performance
• Coach stakeholders on using Microsoft Copilot, Claude, ChatGPT, and other AI technologies effectively
• Track adoption, quality, and business outcomes to iterate and continuously improve delivered solutions
• Reduce manual effort using workflow automation and intelligent reporting capabilities
• Identify scalable AI opportunities that can be rolled out across multiple business functions

Requirements

• 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 building 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 working with structured datasets
• Capability 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
• Interest in learning complex financial and business processes

Technologies

• Python
• SQL
• LLMs
• RAG
• Microsoft Copilot
• Claude
• ChatGPT
• AI agents

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: Improve efficiency, accuracy, and scalability of finance operations using technology
• AI Solution Development: Deliver AI-powered solutions tied to measurable business value
• Business Partnership: Build trusted relationships with finance and operational stakeholders
• Data-Driven Decision Making: Use data, analytics, and AI to provide actionable insights
• Automation & Innovation: Identify opportunities to remove manual effort and increase productivity
• Communication & Influence: Explain technical concepts clearly and drive adoption across stakeholder groups
• Learning Agility: Quickly build expertise in financial processes, technologies, and business domains

Location: Dallas, TX (remote). Experience: 1+ years.