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PartnerOne

Automation and AI Specialist

Posted 4 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Design and build AI- and automation-driven solutions to accelerate Mortgage Cadence Platform configuration using LLMs and workflow automation. Develop integrations with system APIs, partner with implementation teams, create documentation and training, and propose new tools to improve implementation accuracy and scale.
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We are seeking a highly motivated and technically skilled Automation and AI Specialist (AI Lab Lead) to join our Professional Services team. This role is critical to advancing our implementation capabilities by designing and developing innovative automation and AI-driven solutions that accelerate and streamline the configuration of our Mortgage Cadence Platform (MCP).

The ideal candidate is passionate about leveraging cutting-edge technologies like Large Language Models (LLMs) and workflow automation platforms (e.g., n8n, Power Automate) to reduce manual effort, improve accuracy, and scale implementation efforts across clients. This individual will collaborate closely with implementation consultants, project managers, configuration specialists, and product teams to identify opportunities and deliver tangible outcomes through automation.

Key Responsibilities:

  • Design, develop, and maintain AI- and automation-driven solutions that support the rapid configuration of MCP for client implementations.
  • Leverage LLMs (e.g., OpenAI, Claude) to interpret client documentation (e.g., underwriting guidelines, product matrices, policies) and generate configuration outputs.
  • Build and optimize automated workflows using tools such as n8n, Power Automate, Zapier, or custom scripts to streamline repetitive tasks in the implementation lifecycle.
  • Integrate outputs with system APIs to populate configuration templates and system admin screens.
  • Partner with subject matter experts to identify high-impact use cases and translate business needs into scalable technical solutions.
  • Collaborate with Product and Engineering teams to ensure solutions are secure, compliant, and maintainable.
  • Create internal documentation, training materials, and guides to support adoption and enable team self-sufficiency.
  • Stay current on AI/automation trends and proactively propose new tools or approaches that can drive efficiency.

Requirements

Required Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; or equivalent practical experience.
  • 3+ years of experience in a role focused on automation, AI/ML, or software development.
  • Hands-on experience with workflow automation platforms (e.g., n8n, Power Automate, Zapier).
  • Experience working with Large Language Models (LLMs) like OpenAI GPT, Claude, or similar.
  • Strong understanding of REST APIs, JSON, and systems integration concepts.
  • Proficient in JavaScript, Python, .net or other scripting languages used for automation.
  • Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and security best practices.
  • Excellent problem-solving skills and ability to work independently on ambiguous or evolving projects.
  • Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Experience working in the mortgage or fintech industry, particularly in implementation or configuration roles.
  • Familiarity with Loan Origination Systems (LOS), especially Mortgage Cadence.
  • Experience with document parsing, data extraction, and AI-based content analysis.
  • Exposure to RPA tools such as UiPath, Automation Anywhere, or Blue Prism is a plus.
  • Knowledge of prompt engineering techniques and model fine-tuning is a plus.

What You’ll Gain:

  • The opportunity to lead innovation initiatives within a dynamic Professional Services team.
  • Hands-on experience with the latest AI and automation technologies.
  • A chance to make a measurable impact on client success and internal efficiency.
  • Collaborative environment with a strong focus on continuous improvement and solution design.

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