AI Automation Engineer

Success Mortgage Partners, Inc. is building the future of mortgage operations through AI and automation. They are seeking an AI Automation Engineer who can build and deploy AI solutions to enhance efficiency and reduce manual work in mortgage processes.

Responsibilities:

• Build and deploy AI-powered tools that automate real workflows across the mortgage lifecycle
• Rapidly prototype and launch solutions such as:
• AI call agents and intake assistants
• Loan officer copilots
• Document classification and data extraction tools
• Workflow automations across systems
• Integrate AI solutions with platforms such as Encompass, CRMs, and third-party vendor systems
• Work directly with business stakeholders to understand problems and deliver practical solutions—not just concepts
• Identify inefficiencies in current processes and take ownership of solving them
• Operate with speed—prioritizing working solutions over perfection
• Continuously experiment with emerging AI tools and bring forward new ideas that can create business impact

Requirements:

• A builder mindset—you enjoy creating and shipping solutions, not just planning them
• Experience with APIs, integrations, and automation tools
• Familiarity with AI/LLM platforms and how to apply them to real-world use cases
• Strong problem-solving ability with a focus on practical outcomes
• Ability to work independently and take ownership from idea to deployment
• Strong communication skills and the ability to collaborate across technical and non-technical teams
• Experience in mortgage or fintech environments (especially Encompass or LOS platforms)
• Experience building AI tools such as chatbots, copilots, or automation workflows
• Familiarity with low-code/no-code platforms or RPA tools
• Experience integrating with mortgage-related systems (DU, LPA, FHA, credit vendors, etc.)
• A track record of shipping projects quickly and iterating based on feedback
• High level of curiosity and a passion for learning new technologies
• You won't be buried in a backlog—you'll be expected to build and deploy
• You'll have direct access to leadership and real business problems
• Your work will have immediate, visible impact across the organization
• You'll help shape how AI is used across the company