Job Specifications
Work Type: Full-Time, Direct Hire
Experience Required: 10 – 19 Years
Compensation: USD 150,000 – 200,000 + Bonus (up to 20%)
Eligibility: US Citizen or Green Card Holder
Job Overview
We are seeking a seasoned AI Consultant with deep expertise in Machine Learning, Generative AI, and Mortgage Lending processes.
This is a full-stack AI engineering and consulting role, where you will design, build, and deploy AI/GenAI solutions while working directly with enterprise mortgage clients.
The role involves pre-sales, solutioning, rapid prototyping, architecture design, and hands-on implementation across cloud platforms.
Key Responsibilities
Identify and translate mortgage business challenges into AI/ML opportunities.
Lead pre-sales discussions, workshops, and technical solutioning.
Build PoCs, demos, and detailed AI blueprints.
Define AI maturity assessments and enterprise roadmaps.
Build ML and GenAI pipelines (TensorFlow, PyTorch, Hugging Face, LangChain).
Design agentic AI workflows for underwriting, document processing, and customer service.
Implement RAG systems, fine-tuning pipelines, and embedding-based retrieval.
Develop APIs and containerized deployments using Docker/Kubernetes.
Deliver AI workloads across AWS, Azure, or GCP.
Set up MLOps/LLMOps: experiment tracking, CI/CD, governance, and monitoring.
Ensure scalable, secure, and compliant production deployments.
Apply AI to loan origination, underwriting, credit risk, fraud detection, and servicing.
Build compliant and explainable models aligned with mortgage regulations.
Develop GenAI copilots and intelligent agents for document review and borrower interactions.
Support RFPs, client presentations, and innovation showcases.
Mentor teams on AI, GenAI, and emerging agentic architectures.
Act as a domain expert in client meetings and industry forums.
Must-Have Qualifications
12–15+ years in AI/ML; 2+ years in GenAI/LLMs/Agentic AI.
Strong ML, Deep Learning, NLP, Computer Vision expertise.
Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain.
Hands-on deployment experience on AWS/Azure/GCP.
Strong Docker/Kubernetes & API development (FastAPI/Flask).
MLOps/LLMOps experience (MLflow, Azure ML, Vertex AI, Kubeflow).
Deep understanding of the mortgage lifecycle and lending workflows.
Excellent communication and client-facing skills.
Nice-to-Have Qualifications
Experience with vector databases (Pinecone, FAISS, Weaviate).
Knowledge of Responsible AI, explainability, bias detection.
Background in enterprise AI governance or multi-agent systems.
MBA or mortgage domain certifications.