What are the responsibilities and job description for the AI Transformation Lead – Mortgage & Lending position at Mogi I/O : OTT/Podcast/Short Video Apps for you?
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
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.
- 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.
- 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.
Salary : $150,000 - $200,000