Senior AI Automation Engineer
WFA Digital Insight
The demand for AI automation specialists is on the rise, with a 25% growth in job postings over the past year. As companies like Fullstory invest in AI to streamline operations, professionals with expertise in AI implementation and data analysis are in high demand. With the ability to work remotely and collaborate with cross-functional teams, this role offers a unique opportunity for candidates to make a significant impact. Before applying, candidates should be aware of the importance of strong programming skills, experience with data warehousing, and a solid understanding of data modeling.
Job Description
About the Role
As a Senior AI Automation Engineer at Fullstory, you will play a crucial role in helping the Finance team leverage AI to 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. With a strong focus on collaboration and problem-solving, you will design, build, and maintain the technical infrastructure required to enable AI, including custom tools, server-side logic, system integrations, and data pipelines.The role requires a unique blend of technical expertise, business acumen, and communication skills. You will need to be able to guide and empower finance professionals to effectively use AI tools and technologies for data analysis and decision-making. With a tenacious problem-solving mindset and a passion for building the 'glue' that connects systems, you will be responsible for identifying opportunities for AI solutions and implementing them to drive business growth.
Fullstory is a leading behavioral data platform that empowers companies to uncover insights, optimize customer and employee journeys, and deliver exceptional online interactions. As a Senior AI Automation Engineer, you will be part of a team that is dedicated to making a significant impact in the industry.
What You Will Do
- 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
- Improve team productivity through the identification and implementation of AI solutions that automate or optimize key workflows for the Finance team
- Collaborate with cross-functional teams to design and implement AI-powered solutions that drive business growth
- Stay up-to-date with the latest trends and technologies in AI and machine learning, and apply this knowledge to drive innovation and improvement
What We Are 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
- Excellent communication and interpersonal skills, with the ability to guide and empower non-technical stakeholders
- Strong problem-solving skills, with the ability to analyze complex business problems and develop effective solutions
- Experience with AI and machine learning technologies, including natural language processing and computer vision
- Strong understanding of data visualization tools and techniques, including Tableau, Power BI, or D3.js
Nice to Have
- Experience with cloud-based platforms, including AWS or Azure
- Knowledge of containerization using Docker or Kubernetes
- Familiarity with agile development methodologies, including Scrum or Kanban
- Experience with data science tools and technologies, including Python, R, or Julia
Benefits and Perks
- Competitive salary and bonus structure
- Comprehensive health, dental, and vision insurance
- 401(k) matching program
- Generous PTO and holiday schedule
- Remote work stipend and home office setup
- Professional development opportunities, including training and conference attendance
- Access to cutting-edge technologies and tools
- Collaborative and dynamic work environment
- Recognition and reward programs for outstanding performance
How to Stand Out
- Be prepared to provide examples of your experience with AI and machine learning technologies, including natural language processing and computer vision.
- Showcase your ability to communicate complex technical concepts to non-technical stakeholders, including finance professionals.
- Highlight your experience with data warehousing and data modeling, including BigQuery, Snowflake, or other data management systems.
- Emphasize your strong problem-solving skills, including your ability to analyze complex business problems and develop effective solutions.
- Be prepared to discuss your experience with cloud-based platforms, including AWS or Azure, and containerization using Docker or Kubernetes.
- Make sure to research the company culture and values, and be prepared to discuss how you align with them.
- Practice your coding skills and be prepared to complete a technical challenge or coding exercise as part of the interview process.
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