Forward Deployment Engineer

EngineerJob 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 Key Responsibilities Business & Domain Engagement • Partner closely with 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 a year