software engineering, data engineering, AI/ML, or solution consulting roles,
Experience working directly with business stakeholders and translating requirements into technical solutions.
Python, SQL, APIs and Microservices, Cloud Platforms (Azure preferred, AWS or GCP acceptable), Machine Learning and Data Science fundamentals
8+ years of experience in software engineering, data engineering, AI/ML, or solution consulting roles.
Experience working directly with business stakeholders and translating requirements into technical solutions.
Demonstrated experience delivering AI-enabled business transformation initiatives.
Technical Skills
Python
SQL
APIs and Microservices
Cloud Platforms (Azure preferred, AWS or GCP acceptable)
Machine Learning and Data Science fundamentals
Generative AI and Large Language Models
Retrieval-Augmented Generation (RAG)
Vector Databases
LangChain, LlamaIndex, Semantic Kernel, or similar frameworks
Git, CI/CD, DevOps practices
Data & Analytics
Data Engineering
Data Modeling
Power BI/Tableau
Data Visualization
ETL/ELT processes
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Preferred Qualifications
Commercial Real Estate Domain Knowledge
Experience in one or more of the following:
Commercial Real Estate (CRE)
Mortgage Loan Servicing
CMBS
Asset Management
Special Servicing
Real Estate Investment Management
Distressed Assets Management
Portfolio Risk Management
Consulting & Client-Facing Skills
Strong executive communication skills.
Ability to present AI concepts to both technical and non-technical audiences.
Experience working in consulting or customer-facing environments.
Ability to manage ambiguity and solve complex business problems.
Roles & Responsibilities
Key Responsibilities
Business & Domain Engagement
Partner closely with Rialto business leaders and operational teams to understand workflows, pain points, and strategic objectives.
Translate complex business requirements into scalable AI, automation, and analytics solutions.
Act as a trusted advisor for AI adoption across Commercial Real Estate and Loan Servicing operations.
Conduct discovery workshops and identify high-value use cases for AI and GenAI implementation.
AI Solution Development & Deployment
Design, build, and deploy AI-powered applications leveraging GenAI, LLMs, Agentic AI, and machine learning technologies.
Develop proof-of-concepts (POCs) and rapidly iterate into production-grade solutions.
Build AI assistants and copilots to support:
o Asset Management
o Loan Servicing
o Special Servicing
o Investor Reporting
o Document Processing
o Portfolio Risk Monitoring
Integrate AI solutions with enterprise platforms and existing business applications.
Data Engineering & Analytics
Work with structured and unstructured data from:
o Mortgage Loans
o CMBS Portfolios
o Property Financials
o Servicing Platforms
o Investor Reports
o Legal and Asset Documents
Design data pipelines and AI-ready datasets.
Create dashboards and actionable business insights using modern analytics tools.
Product & Technology Delivery
Collaborate with engineering and architecture teams to deploy scalable solutions.
Drive end-to-end implementation from ideation through production deployment.
Monitor adoption, business value realization, and continuous optimization.
Ensure compliance with data governance and security standards.
Innovation & Thought Leadership
Stay current on emerging AI technologies, frameworks, and industry trends.
Recommend innovative ways to improve efficiency, reduce operational costs, and enhance decision-making.
Champion AI-first thinking across business processes.