Hybrid AI Automation Engineer for Finance Data & Workflows

fullstory

United States

Hybrid

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work model
HQ in Atlanta
Flexible PTO
Professional development
Medical benefits

Job summary

Fullstory is seeking an AI Automation Engineer to join the Finance team and drive AI-powered data solutions. You will act as the technical bridge between Finance and other engineering groups, building data pipelines, integrating systems, and enabling analysts to leverage AI for better decisions.

In this hybrid Atlanta-based role, you will collaborate with stakeholders, design scalable infrastructure, and deliver impactful AI solutions within 6–12 months, while shaping best practices for AI

Qualifications

  • Experience designing AI-powered data solutions within finance or business operations context.
  • Strong programming skills for data acquisition, cleaning, and preparation.
  • Bachelor's degree in CS or related field.

Responsibilities

  • Identify opportunities for AI solutions within the Finance team and translate needs into technical designs.
  • Embed within Finance to enable data analysis and automate workflows.
  • Design, build, and maintain infrastructure for AI deployments, including data pipelines and integrations.
  • Lead data acquisition, cleaning, and preparation for AI models.

Skills

AI
Data analysis
REST APIs
Data integration
Python
Problem-solving

Education

Bachelor's Degree in Computer Science or related field

Tools

BigQuery
Snowflake
SQL
ETL tools

Job description

Fullstory is seeking an AI Automation Engineer to join the Finance team and drive AI-powered data solutions. You will act as the technical bridge between Finance and other engineering groups, building data pipelines, integrating systems, and enabling analysts to leverage AI for better decisions.

In this hybrid Atlanta-based role, you will collaborate with stakeholders, design scalable infrastructure, and deliver impactful AI solutions within 6–12 months, while shaping best practices for AI

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