# AI Automation Engineer
**Company:** [Fullstory](https://scaleengineer.com/companies/fullstory)
The AI Automation Engineer role at Fullstory involves designing and implementing AI-powered solutions to enhance financial operations and data analysis capabilities. Working embedded within the Finance team, you'll bridge business needs and technical engineering to automate key workflows, manage data pipelines, and empower finance professionals through AI tools. This hybrid position in Atlanta requires strong programming skills, data warehousing expertise, and the ability to translate complex business problems into scalable technical solutions.
**Role:** AI Engineer
**Seniority:** Mid
**Locations:** Atlanta
**Salary:** 130000–170000 USD
[Apply](https://jobs.ashbyhq.com/fullstory/95f96318-76e8-46b7-8dd9-a74379582e6f)
Canonical: https://scaleengineer.com/jobs/fullstory/ai-automation-engineer
---
## Responsibilities

- Design and Implement AI Solutions: Identify and implement AI-powered solutions embedded within the Finance team to solve complex business problems, from workflow automation to enhanced data analysis. Deliver impactful AI implementations that are actively adopted and used by finance professionals to improve decision-making and operational efficiency.
- Build Technical Infrastructure: Design, build, and maintain comprehensive technical infrastructure required to enable AI capabilities, including custom tools, server-side logic, system integrations (REST APIs, microservices), and robust data pipelines for reliable data flow and processing.
- Develop Data Acquisition and Management Processes: Create and manage end-to-end data acquisition processes including sourcing, validation, cleaning, and preparing data for use in AI models and analytics. Ensure data integrity across multiple data sources and establish quality standards for downstream consumption.
- Conduct Data Analysis and Insights: Perform data analysis to uncover meaningful insights, validate data integrity across systems, and support strategic finance initiatives. Use analytical techniques to identify patterns and opportunities for business optimization through AI automation.
- Empower Business Stakeholders: Guide and empower finance professionals to effectively leverage AI tools and technologies for advanced data analysis and strategic decision-making. Provide technical training and support to enable business users to utilize AI-powered solutions independently.
- Act as Technical Bridge: Serve as the primary technical bridge between the Finance team and other engineering groups, translating business requirements into robust technical solutions. Facilitate communication between non-technical stakeholders and engineering teams to ensure alignment and successful project delivery.
- Scale AI Solutions Across Teams: Proactively identify complex business problems suitable for AI automation and scale successful solutions across teams. Contribute to broader engineering discussions about AI best practices and shape the future of AI automation initiatives at Fullstory.

## Requirements

### education

- {"name":"Bachelor's Degree in Computer Science or Related Field","description":"Required qualification demonstrating foundational knowledge in computer science, software engineering, data science, or equivalent technical discipline. Demonstrates capability to understand complex technical architectures and implement scalable solutions."}

### technical

- {"name":"Strong Programming Skills","description":"Demonstrated proficiency in programming languages for data acquisition, manipulation, cleaning, and preparation at scale. Must be comfortable working with data pipelines and automating data processing workflows."}
- {"name":"Data Warehousing and Modeling","description":"Hands-on experience with modern data warehouse platforms such as BigQuery or Snowflake. Solid understanding of data modeling principles, schema design, and optimization for analytical workloads."}
- {"name":"System Integration and APIs","description":"Proven experience designing and building solutions that integrate multiple systems and data sources using REST APIs and similar integration patterns. Deep understanding of data flow management across distributed systems."}
- {"name":"AI and Machine Learning Fundamentals","description":"Understanding of AI/ML concepts, tools, and frameworks relevant to business automation and analytics. Ability to evaluate and implement AI solutions for specific use cases and optimize model performance."}
- {"name":"Database Design and Management","description":"Strong grasp of relational and non-relational database design, query optimization, and data integrity principles. Experience managing databases at scale and ensuring reliable data access patterns."}

### experience

- {"name":"Business Stakeholder Collaboration","description":"Proven track record working closely with business stakeholders and understanding their operational needs. Preferably within finance, business operations, or similar business-critical functions where you translated business requirements into technical implementations."}
- {"name":"Full Stack Data Engineering","description":"Experience spanning the entire data lifecycle including acquisition, transformation, storage, and analytics. Demonstrated ability to build end-to-end solutions that move data reliably from source systems to analytical platforms."}
- {"name":"Problem-Solving and System Thinking","description":"Tenacious problem-solving mindset with the ability to identify root causes and design comprehensive solutions. Experience identifying inefficiencies in business processes and architecting technical solutions to automate or optimize workflows."}

## Skills

### required

- {"name":"Python or Similar Programming Language","description":"Strong proficiency in Python, Java, Go, or equivalent languages for building data pipelines, automation scripts, and application logic. Must be able to write clean, maintainable code and work with large datasets."}
- {"name":"SQL and Data Querying","description":"Advanced SQL skills including complex queries, query optimization, window functions, and performance tuning. Ability to write efficient queries against large datasets and understand query execution plans."}
- {"name":"Data Warehouse Platforms","description":"Hands-on experience with BigQuery, Snowflake, or equivalent cloud data warehouse solutions. Understanding of warehouse architecture, cost optimization, and scaling for analytical workloads."}
- {"name":"API Design and Integration","description":"Experience building and consuming REST APIs for system integration. Understanding of authentication, error handling, rate limiting, and best practices for reliable API-based integrations."}
- {"name":"Workflow Automation and Orchestration","description":"Experience with workflow automation tools such as Apache Airflow, Prefect, Dagster, or cloud-native orchestration platforms. Ability to design and implement reliable, scalable data pipelines."}
- {"name":"Business Analysis and Requirements Translation","description":"Ability to understand complex business requirements, identify technical solutions, and communicate technical concepts to non-technical stakeholders. Experience translating business metrics into data models and KPIs."}

### preferred

- {"name":"Generative AI and LLM Tools","description":"Familiarity with generative AI frameworks, large language models, and prompt engineering techniques. Experience integrating AI models into business applications or exploring AI-powered automation for operational efficiency."}
- {"name":"Finance and FinTech Experience","description":"Prior experience in financial services, fintech, or finance operations roles. Understanding of financial workflows, accounting systems, and compliance requirements that inform finance automation opportunities."}
- {"name":"Behavioral Analytics and Analytics Platforms","description":"Experience with analytics platforms similar to Fullstory or other digital experience analytics tools. Understanding of user behavior data collection, instrumentation, and analytical approaches."}
- {"name":"Cloud Platform Services","description":"Proficiency with cloud platform services (Google Cloud, AWS, Azure) including compute, storage, networking, and managed services. Experience with infrastructure-as-code and cloud resource management."}
- {"name":"Data Visualization and BI Tools","description":"Experience with BI and visualization tools such as Tableau, Looker, or Power BI. Ability to communicate complex analyses through dashboards and create intuitive data visualizations for business users."}
- {"name":"Containerization and Deployment","description":"Familiarity with Docker, Kubernetes, and containerized application deployment. Experience managing containerized environments and orchestrating microservices for scalable solutions."}

## Tech stack

### tools

- {"name":"dbt (Data Build Tool)","description":"Modern data transformation tool enabling version control, testing, and documentation of data models. Essential for building reliable, maintainable data pipelines and analytics engineering."}
- {"name":"Jupyter Notebooks","description":"Interactive development environment for data exploration, prototyping AI solutions, and communicating analysis to stakeholders. Critical for iterative AI development and analysis workflows."}
- {"name":"Git and Version Control","description":"Essential for collaborative development, code review, and maintaining reproducible data pipelines and AI implementations. Professional-grade version control management required."}
- {"name":"Docker","description":"Containerization platform for packaging data pipelines, AI models, and automation services. Enables reliable deployment and scaling of solutions across environments."}
- {"name":"CI/CD Platforms (GitHub Actions, GitLab CI, Jenkins)","description":"Continuous integration and deployment tools for automating testing, validation, and deployment of data pipelines and AI solutions. Essential for maintaining code quality and reliability."}
- {"name":"Slack or Communication APIs","description":"Integration points for delivering insights, alerts, and automation results to business users. Used for building user-facing automation and notification systems."}

### others

- {"name":"REST API Architecture and Design Patterns","description":"Deep understanding of RESTful principles, API design patterns, and system integration approaches. Critical for connecting Finance systems with engineering infrastructure and AI platforms."}
- {"name":"AI Automation Frameworks and Workflow Orchestration","description":"Knowledge of frameworks and patterns for building reliable, scalable AI automation systems. Understanding of monitoring, logging, and debugging distributed automation workflows."}
- {"name":"Data Quality and Governance","description":"Practices and tools for ensuring data quality, lineage tracking, and governance in regulated environments like Finance. Essential for maintaining trust in AI-driven insights and decisions."}
- {"name":"Requirements Gathering and Technical Documentation","description":"Skills in translating business requirements into technical specifications and maintaining clear architecture and implementation documentation for stakeholders and team members."}

### databases

- {"name":"BigQuery","description":"Google Cloud's enterprise data warehouse providing scalable SQL analytics, machine learning capabilities, and seamless integration with other Google Cloud services. Primary platform for storing and analyzing large-scale financial data."}
- {"name":"Snowflake","description":"Cloud-native data warehouse offering flexible compute and storage, seamless data sharing, and advanced analytics. Alternative or complementary data warehousing solution for analytics and AI workloads."}
- {"name":"PostgreSQL or MySQL","description":"Relational databases for operational systems, backend services, and transactional data storage. Understanding of relational design principles and optimization essential for system integration."}
- {"name":"Redis or Similar Cache Stores","description":"In-memory data stores for caching, session management, and high-performance data access. Used for optimizing data pipeline performance and real-time analytics."}

### languages

- {"name":"Python","description":"Primary language for data engineering, AI implementation, and automation scripting. Essential for building data pipelines, preprocessing workflows, and integrating AI models into business solutions."}
- {"name":"SQL","description":"Critical for data warehousing, complex data analysis, and query optimization. Used extensively for data modeling, transformation, and analytics against large datasets."}
- {"name":"JavaScript/TypeScript","description":"Valuable for backend services, API development, and full-stack implementations. Increasingly used in modern data engineering and automation tooling ecosystems."}
- {"name":"Bash/Shell Scripting","description":"Important for automation, DevOps workflows, and managing data pipeline orchestration. Used for system-level operations and scripting repetitive tasks."}

### frameworks

- {"name":"Apache Airflow","description":"Industry-standard workflow orchestration platform for building, scheduling, and monitoring complex data pipelines. Essential for managing AI and data automation workflows at scale."}
- {"name":"Pandas and NumPy","description":"Core Python libraries for data manipulation, transformation, and numerical computing. Fundamental tools for data cleaning and preparation in AI and analytics workflows."}
- {"name":"TensorFlow or PyTorch","description":"Deep learning frameworks for implementing machine learning models and AI solutions. Used for training, evaluating, and deploying AI models for business automation."}
- {"name":"Flask or FastAPI","description":"Lightweight frameworks for building RESTful APIs and backend services that integrate AI capabilities with business applications. Essential for creating automation solutions accessible to finance teams."}

## Benefits

### benefits

- {"name":"Sponsored Health and Wellness Benefits","description":"Comprehensive health insurance packages for US-based employees with dental and vision coverage. Supplemental coverage options available for international team members. Demonstrates Fullstory's commitment to employee wellbeing and preventative healthcare."}
- {"name":"Flexible Paid Time Off and Annual Company Closure","description":"Flexible PTO policy allowing you to take time off as needed, plus an annual company-wide closure period and federal holidays. Encourages work-life balance and provides guaranteed time for rest and rejuvenation."}
- {"name":"Professional Development and Learning Subsidy","description":"Annual learning budget for US and EMEA-based employees to invest in professional development, courses, certifications, and training programs. Supports continuous skill development in AI, data engineering, and emerging technologies."}
- {"name":"Monthly Productivity Stipend","description":"US and EMEA-based employees receive a monthly productivity stipend to support home office setup, equipment, or other resources that enhance your working environment and effectiveness."}
- {"name":"Paid Parental Leave","description":"Comprehensive paid parental leave supporting employees during major life transitions. Allows you to balance growing family needs without added financial stress, demonstrating Fullstory's commitment to supporting all life stages."}
- {"name":"Bereavement Leave Including Pregnancy Loss","description":"Compassionate bereavement leave policies including miscarriage and pregnancy loss support. Provides necessary time to grieve and support loved ones during difficult periods."}
- {"name":"Team Collaboration and Connection Programs","description":"Regular team off-sites and annual full-company meet-ups facilitate relationship building and cross-functional collaboration. Vibrant offices in Atlanta and London with flexible in-office requirements (minimum one day per week) maintain team connection while offering flexibility."}
- {"name":"Diverse and Inclusive Workplace Culture","description":"Fullstory actively fosters an increasingly diverse community celebrating employees of all backgrounds and lifestyles. Commitment to equal-opportunity employment and creating inclusive spaces where diverse perspectives solve complex problems."}

## Compensation

- **max:** 170000
- **min:** 130000
- **currency:** USD
- **stockOptions:** true

## Interview process

### steps

## Full description
**This is a hybrid position requiring in-office attendance three days per week at our Atlanta office. Candidates must reside within a commutable distance to be considered.**

The AI Automation Engineer will report to the Director, Engineering (Enterprise Systems and Data team) and help the Finance team leverage AI so that they can enhance data analysis, automate key workflows, and make more effective business decisions.

You will work embedded within the Finance team to identify opportunities for AI solutions and act as the technical bridge between them and other engineering groups. To excel in this job, you must have a tenacious problem-solving mindset and enjoy building the "glue" that connects systems to enable new capabilities.

**In a typical day, you might:**

* Work embedded within the Finance team to identify opportunities and implement AI-powered solutions to complex business problems.
* Guide and empower finance professionals to effectively use AI tools and technologies for data analysis and decision-making.
* Design, build, and maintain the technical infrastructure required to enable AI, including custom tools, server-side logic, system integrations, and data pipelines.
* Develop and manage data acquisition processes, including sourcing, cleaning, and preparing data for use in AI models and analytics.
* Conduct data analysis to uncover insights, validate data integrity, and support strategic finance initiatives.
* Act as the technical bridge between the Finance team and other engineering groups, translating business needs into robust technical solutions.

**Here’s what we’re looking for:**

* Experience working closely with business stakeholders, preferably within a finance or business operations context.
* Proven experience designing and building solutions by integrating various systems (e.g., REST APIs, databases), with a strong comfort level in managing the associated data flows.
* Strong programming skills for tasks like data acquisition, cleaning, and preparation.
* Experience with data warehousing (e.g., BigQuery, Snowflake) and a solid understanding of data modeling.
* Improve team productivity through the identification and implementation of AI solutions that automate or optimize key workflows for the Finance team.
* Bachelor's Degree in Computer Science or related field.

**The impact you will have in 6 Months:**

* You will have delivered one or two impactful AI-powered solutions that are actively being used by the Finance team.
* You will be seen as a trusted technical partner and the go-to expert for AI implementation within Finance.

**The impact you will have in 12 Months:**

* You will be proactively identifying new, complex business problems to solve with AI and scaling your solutions, potentially with other teams.
* You will be contributing to broader engineering discussions about AI best practices and helping to shape the future of AI automation at Fullstory.

#LI-Hybrid 

#LI-CD1

### **About Fullstory**

Fullstory is a leading behavioral data platform transforming how businesses understand and improve their digital experiences. Our technology empowers companies to uncover insights, optimize customer and employee journeys, and deliver exceptional online interactions. It makes every customer experience smoother and more personalized and empowers the employees behind the scenes.

We’re building something special at Fullstory- and we’re looking for teammates who are curious, collaborative, and driven to make an impact. We’re especially excited about the potential of AI to enhance efficiency, spark creativity, and elevate our work. If that resonates, explore our[ Winning Ways](https://www.fullstory.com/about-us/) to see the values that guide how we work and grow together.

**How we support you:**

Fullstorians are committed to building something better- from how we approach our product, to how we care for our customers and each other. Along these lines, we offer:

* **Flexibility and Connection.** We have a vibrant HQ in Atlanta and a tight-knit group in London. Fullstorians in those cities come to the office at least one day a week to build cross-functional relationships and stay connected. We also offer a flexible PTO policy and an annual company-wide closure, along with federal holidays.
* **Benefits.** Take care of the whole you. Fullstory offers sponsored benefit packages for US-based Fullstorians, and supplemental coverage options for international Fullstorians.
* **Learning opportunities.** We provide professional development opportunities through training programs and an annual learning subsidy for US and EMEA-based employees.
* **Productivity support.** US and EMEA-based Fullstorians receive a monthly productivity stipend.
* **Team Collaboration.** Connect with fellow Fullstorians through team off-sites and an annual full-company meet-up.
* **Paid parental leave.** Fullstorians balance the needs of their growing families without the added stress of figuring out work and finances.
* **Bereavement leave, including miscarriage/pregnancy loss**. Take the time to grieve and help your loved ones.

_Fullstory is proud to be an equal-opportunity workplace dedicated to fostering an increasingly diverse community. We want candidates of all human varieties, backgrounds, and lifestyles. There’s no problem that can’t be made better by bringing together people with a broader set of perspectives. **If our product, values, and community resonate with you, please apply– we'd love to hear from you!**_