Senior Business Solution Architect – Automation, AI

Planet Home Lending, LLC

Sr Business Solutions Architect for Automation & AI designing scalable automation and AI solutions for Planet business systems. Collaborating with domain experts and guiding engineering teams in mortgage technology space.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise solution architecture and data engineering within the mortgage technology industry, focusing on automation, compliance, and scalable design patterns. Proficient in leveraging cloud platforms and AI technologies to drive innovation and optimize business outcomes.

Highest-signal resume keywords

Enterprise Solution ArchitectureMortgage Operations ExpertiseGenerative AI & Machine Learning SolutionsDevSecOps Principles & ComplianceData Governance & Privacy Regulations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution ArchitectureData EngineeringAutomation PlatformsCloud Data PlatformsSQLETL/ELT ProcessesAPIs & SDKsWorkflow AutomationRobotic Process Automation (RPA)Business Intelligence

Soft Skills

Communication SkillsCollaboration SkillsProblem-Solving SkillsAnalytical ThinkingInfluencing Skills

Tools & Technologies

SnowflakeAzureICE Mortgage Technology ProductsCI/CD PrinciplesVersion Control

Certifications & Qualifications

Bachelor's Degree in Computer ScienceInformation TechnologyEngineeringBusiness

Industry Keywords

Mortgage TechnologyFinancial ServicesRegulated IndustriesLoan ServicingPayment ProcessingEscrow ManagementRegulatory CompliancePortfolio ManagementForbearance ProgramsBorrower Communication

Tech Stack

Tools & technologies

AzureCloudETLRPASQL

About the role

Key responsibilities & impact

Define end-to-end solution architectures for business domain problems in the mortgage technology industry, including data ingestion, transformation, automation, storage, governance, and consumption across multiple systems.
Establish reusable, scalable, cost-effective patterns that leverage automation opportunities.
Translate business outcomes into designs that meet performance, resiliency, security, and cost objectives.
Develop project proposals and decision architecture review documents with clear options, trade-offs, and recommendations for executive decision-making.
Build proofs-of-concept (POCs) and reference implementations to de-risk designs and validate feasibility.
Validate implemented solutions against approved designs, identify drift, and drive corrective actions.
Ensure designs remain practical and implementable throughout the development lifecycle.
Partner with business subject matter experts and other Solution Architects to socialize designs and ensure alignment with standards and roadmaps.
Communicate complex concepts clearly to technical and non-technical audiences; influence adoption of best practices and reusable patterns.
Provide architectural guidance to engineering leads and delivery teams during implementation, ensuring scope, timeline, and quality remain aligned with the design.
Ensure solutions comply with data governance, privacy, and audit requirements. Support architecture reviews and control checkpoints.
Integrate DevSecOps principles into solution designs to ensure security and compliance from inception.
Evaluate emerging technologies; lead experiments and convert proven approaches into platform enhancements. Advocate for modernization initiatives and influence platform/architecture roadmaps.

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field, or equivalent professional experience
High school diploma or GED equivalent required
Minimum 10 years of experience within information technology (IT) environments (required)
Minimum 7 years of experience in enterprise solution architecture, data engineering, or cloud platform design
Minimum 3 years of experience designing or implementing automation platforms
Deep experience in mortgage operations (both originations and servicing).
Experience leveraging Generative AI or machine learning solutions in a production environment
Demonstrated experience working in mortgage technology, financial services, or regulated industries
Proven track record of designing scalable, enterprise-grade solutions across multiple stakeholder groups.
Platform Expertise: Deep expertise in Snowflake, Azure, or comparable cloud data platforms. Knowledge of ICE Mortgage Technology products or similar mortgage technology ecosystems. Understanding of modern data architectures including data warehouses, medallion architectures, and workflow automation patterns.
AI & Automation Knowledge: Knowledge of Generative AI architectures, LLM integration patterns, and AI/ML deployment considerations. Understanding of automation frameworks, workflow orchestration, and robotic process automation (RPA). Familiarity with AI governance, responsible AI practices, and ethical AI considerations.
DevSecOps & Compliance: Strong understanding of DevSecOps principles and practices. Knowledge of security best practices in cloud environments, data governance, privacy regulations and audit frameworks. Familiarity with mortgage industry compliance requirements.
Architecture & Design Patterns: Ability to design reusable, scalable solution patterns and reference architectures. Experience with technology trade-off analysis and decision frameworks. Proven ability to translate business requirements into technical solutions.
Mortgage Servicing Business Understanding: Strong knowledge of loan servicing platforms and operations, including loan accounting, payment processing systems, and escrow management. Understanding of servicing workflows, loss mitigation strategies, default management procedures, and regulatory compliance frameworks specific to mortgage servicing. Familiarity with portfolio analysis, performance reporting, and investor relations in mortgage servicing context.
Technical Proficiency: Experience with APIs, SDKs, and integration platforms. Strong understanding of ETL/ELT processes, data transformation, and SQL. Familiarity with version control and CI/CD principles. Experience with business intelligence, analytics, and automation platforms.
Communication & Collaboration: Excellent ability to communicate complex technical concepts to both technical and non-technical audiences. Strong presentation and documentation skills. Proven ability to influence and drive consensus among stakeholders. Excellent listening and partnership skills.
Problem-Solving & Innovation: Advanced analytical and critical thinking skills. Ability to anticipate risks, envision solutions, and drive innovation. Track record of successfully managing ambiguity and complex, multi-faceted challenges.
Industry Knowledge: Thorough understanding of mortgage industry processes, workflows, and regulatory landscape. Deep knowledge of mortgage servicing operations, including loan portfolio management, payment processing, escrow management, forbearance programs, default servicing, and borrower communication. Knowledge of real estate lending operations and borrower experience optimization. Familiarity with mortgage industry regulatory requirements.

Benefits

Comp & perks

Performs other duties as assigned.