We are looking for a curious, proactive, and detail-oriented Junior Automation & AI Analyst (AI Lab Analyst) to support the development and execution of automation and AI-driven initiatives within our Professional Services team. This is an exciting opportunity for a technically minded individual who is eager to learn how modern technologies like Large Language Models (LLMs) and workflow automation tools are used to optimize implementation processes in the mortgage technology space.
In this role, you will assist with building, testing, and maintaining automated workflows, contribute to prompt development and data mapping tasks, and help translate business requirements into technical tasks. You will work closely with the Automation and AI Specialist and gain hands-on experience working on high-impact internal and client-facing initiatives.
Job Responsibilities
- Support the design, testing, and maintenance of AI- and automation-based solutions used to configure the Mortgage Cadence Platform (MCP).
- Assist in creating and optimizing workflow automations using tools like n8n, Power Automate, or Zapier.
- Help build and test LLM prompts for tasks such as document parsing, data mapping, and configuration generation.
- Prepare, clean, and structure data for use in automation workflows and AI tools.
- Maintain internal documentation, workflows, and code repositories to ensure transparency and reusability.
- Collaborate with implementation consultants and business analysts to gather requirements and validate outcomes.
- Monitor and report on the performance of automations and identify opportunities for improvement.
- Stay up to date on automation trends and tools, and propose ideas for new efficiencies.
Requirements
- Bachelor’s degree (or currently pursuing) in Computer Science, Information Systems, Engineering, or related field – or equivalent practical experience.
- 0–2 years of experience in a technical, data, or process automation role (internships or personal projects count).
- Exposure to workflow automation tools like n8n, Power Automate, or similar.
- Basic understanding of APIs, JSON, and data formats.
- Familiarity with AI tools or LLMs (e.g., ChatGPT, Claude, Gemini).
- Experience with Excel and Google Sheets; comfortable working with large datasets.
- Some exposure to Python, JavaScript, .net or scripting is a plus.
- Strong organizational and problem-solving skills.
- Excellent communication skills and willingness to work collaboratively in a team environment.
Preferred Qualifications:
- Familiarity with Loan Origination Systems (LOS) or fintech systems is a plus.
- Experience using AI tools for task automation or document summarization.
- Understanding of prompt engineering basics.
- Exposure to agile or project-based work environments.
Skills Required
- Bachelor's degree (or currently pursuing) in Computer Science, Information Systems, Engineering, or related field, or equivalent practical experience
- 0-2 years of experience in a technical, data, or process automation role (internships or personal projects count)
- Exposure to workflow automation tools like n8n, Power Automate, or similar
- Basic understanding of APIs, JSON, and data formats
- Familiarity with AI tools or LLMs (e.g., ChatGPT, Claude, Gemini)
- Experience with Excel and Google Sheets; comfortable working with large datasets
- Some exposure to Python, JavaScript, .net or scripting
- Strong organizational and problem-solving skills
- Excellent communication skills and willingness to work collaboratively
- Familiarity with Loan Origination Systems (LOS) or fintech systems
- Experience using AI tools for task automation or document summarization
- Understanding of prompt engineering basics
- Exposure to agile or project-based work environments
What We Do
PartnerOne is an enterprise software company that manages the world’s largest data environments through virtualized cloud storage, hyper-automation, artificial intelligence, and metadata analytics. Contrary to other software companies, we play a mission-critical role in not just one, but many aspects of the enterprise Big Data cycle. Over 1250 of the world’s largest data environments rely on our software for their most critical needs and to safeguard their most valuable data.
