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.
We are seeking a highly motivated and technically skilled Automation and AI Specialist 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:
- 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).
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Experience with document parsing, data extraction, and AI-based content analysis.
- Knowledge of prompt engineering techniques and model fine-tuning.
Preferred Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; or equivalent practical experience.
- Experience working in the mortgage or fintech industry, particularly in implementation or configuration roles.
- Familiarity with Loan Origination Systems (LOS), especially Mortgage Cadence.
- Exposure to RPA tools such as UiPath, Automation Anywhere, or Blue Prism is a plus.
Benefits
Similar Jobs
Fintech • Software
Build and scale agentic AI systems that automate customer experience workflows across Slack and Salesforce. Analyze transcripts, detect SLA risks and escalations, provide self-service operational insights, and develop AI memory architecture. Partner with data, QA, workforce management, and customer advocacy teams to ensure system accuracy, reliability, trustworthy outputs, and measurable operational impact. Productize internal tools and design human escalation patterns for scalable deployment.
Top Skills:
CrestaDbtDevrevMcpRedshiftSalesforceSlackTrino
Information Technology
Design, implement, and optimize AI-powered workflow automation solutions. Analyze business processes, document current and future states, gather requirements, integrate automation tools, support testing and deployment, monitor performance, and identify improvements. Collaborate with business and technical stakeholders, provide training and troubleshooting support, promote automation best practices, and contribute to digital transformation and innovation initiatives.
Top Skills:
AgileAi AgentsArtificial IntelligenceGenerative AiProcess Mapping ToolsProcess Mining ToolsRobotic Process Automation (Rpa)Workflow AutomationWorkflow Orchestration Platforms
Digital Media • Professional Services • Consulting • SEO
Design, build, and deploy custom AI chatbots, agents, and automated reports; integrate AI models with core systems via APIs; architect and maintain a unified knowledge base; ensure data privacy and access controls; convert AI outputs into presentations/spreadsheets and train executives to adopt automated workflows company-wide.
Top Skills:
Ai AgentsAi ChatbotsApi ConnectorsAPIsAutomation FrameworksChatgptClaudeGoogle WorkspaceKnowledge BaseMicrosoft 365Microsoft TeamsPrompt Engineering
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
