Embedded AI Engineer - Finance

The Embedded AI Engineer will act as the dedicated AI partner for the Finance organization, translating finance needs into AI-powered solutions that support planning, forecasting, reporting, and day-to-day decision-making. The role collaborates closely with Finance, FP&A, and business leaders to expand AI adoption and improve finance workflows.

Responsibilities

• Work directly with Finance teams to understand budgeting, forecasting, capital planning, reporting, and approval workflows.
• Find and rank use cases where AI can strengthen financial analysis, operational efficiency, and decision support.
• Develop and deploy AI-powered automations, including RAG applications, agents, copilots, and internal productivity tools.
• Build solutions that streamline financial reporting, forecasting, cost analysis, and capital approval processes.
• Partner with Data Engineering and AI teams to support enterprise-scale platforms and shared data initiatives.
• Create tools that increase visibility into spend, capital deployment, project economics, and business performance.
• Support stakeholder enablement by coaching effective use of Microsoft Copilot, Claude, ChatGPT, and other AI technologies.
• Track adoption, solution quality, and business outcomes to continuously improve delivered capabilities.
• Reduce manual work through workflow automation and intelligent reporting capabilities.
• Identify AI use cases that can scale beyond one team and be applied 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.
• Ability to move solutions from concept through deployment and user adoption.
• Strong communication and stakeholder management skills.
• Self-starter mindset with comfort operating in fast-paced, 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: Improves efficiency, accuracy, and scalability of finance operations through technology.
• AI Solution Development: Designs and delivers AI-powered solutions with measurable business value.
• Business Partnership: Builds trusted relationships with finance and operational stakeholders.
• Data-Driven Decision Making: Uses data, analytics, and AI to deliver actionable insights.
• Automation & Innovation: Identifies opportunities to remove manual effort and improve productivity.
• Communication & Influence: Explains technical concepts clearly and drives adoption across stakeholder groups.
• Learning Agility: Rapidly develops expertise in financial processes, technologies, and business domains.

Location and Role Context

Dallas, TX (remote). The role is focused on delivering embedded AI capabilities specifically for the Finance organization.