Forward Deployment Engineer

Job Description

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

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

• 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.

Pay

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

Qualifications

• BACHELOR OF COMPUTER SCIENCE