Must Have Technical/Functional Skills
- 5+ 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.
Salary Range: $130,000 -$140,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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