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

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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:
• 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.

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