Forward Deployment Engineer (FDE)

VOLTO Consulting; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Rialto seeks a senior AI/ML consultant to translate business requirements into scalable AI, automation, and analytics solutions within Commercial Real Estate and Loan Servicing. You will lead discovery workshops, develop POCs, and deploy production-grade AI copilots for asset management, servicing, reporting, and risk monitoring.

You will collaborate with engineering and business teams to ensure data governance, accurate dashboards, and measurable business value while staying ahead of AI trends.

Qualifications

• 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.
• Commercial Real Estate Domain Knowledge

Responsibilities

• 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.
• 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: Asset Management, Loan Servicing, Special Servicing, Investor Reporting, Document Processing, Portfolio Risk Monitoring.
• Integrate AI solutions with enterprise platforms and existing business applications.
• Create dashboards and actionable business insights using modern analytics tools.
• Design data pipelines and AI-ready datasets.
• 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.
• Stay current on emerging AI technologies, frameworks, and industry trends.
• Champion AI‑first thinking across business processes.

Skills

Python

SQL

APIs & Microservices

Cloud Platforms

Generative AI & LLMs

RAG

Vector Databases

LangChain/LlamaIndex

Git & CI/CD

Data Visualization

Tools

Power BI

Tableau

Azure

AWS

GCP

Job description

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

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

• Asset Management
• Loan Servicing
• Special Servicing
• Investor Reporting
• Document Processing
• Portfolio Risk Monitoring

Integrate AI solutions with enterprise platforms and existing business applications.

Data Engineering & Analytics

Work With Structured And Unstructured Data From

• Mortgage Loans
• CMBS Portfolios
• Property Financials
• Servicing Platforms
• Investor Reports
• 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.

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