Mortgage AI Solutions Architect

2 days ago

Amrāvati, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Mortgage AI Solutions Architect

About the Role:

We're seeking a skilled Artificial Intelligence Engineer with deep hands-on experience in Machine Learning, Natural Language Processing, Large Language Models, and Agentic AI to design intelligent mortgage loan processing workflows.

This role involves designing scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure.

Key Responsibilities:

  • Design and implement Machine Learning/Natural Language Processing pipelines for automating loan origination and underwriting processes.
  • Develop and deploy Large Language Model-based solutions using tools like OpenAI and HuggingFace, integrating via LangChain or similar frameworks.
  • Build and orchestrate Agentic AI systems (e.g., using LangChain Agents) to enable autonomous decision-making and task planning for mortgage agents.
  • Fine-tune domain-specific Large Language Models and embeddings for intelligent document classification, summarization, and question answering.
  • Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models.
  • Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services).
  • Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.
  • Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows.

Required Skills & Qualifications:

  • 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems.
  • Proven expertise with LLMs (e.g., OpenAI) and LangChain / AutoGen / Agentic AI design.
  • Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers.
  • Strong knowledge of Azure Cloud – including Azure ML, Azure Functions, Azure DevOps.
  • Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow.
  • Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).
  • Experience deploying models into production-scale environments.
  • Nice to Have
  • Understanding of US mortgage or lending workflows.
  • Experience with OCR, document intelligence tools (e.g., Azure Form Recognizer).
  • Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining.
  • Knowledge of privacy and compliance frameworks in AI deployments.

What We Offer:

  • Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation.
  • Access to top-tier tools, frameworks, and cloud platforms.
  • Remote flexibility and career growth in an innovation-first team.
  • Impactful work transforming legacy loan operations through AI.

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