AI Foundational Model Engineer
Core
Design, build, deploy, and optimize enterprise-grade AI solutions powered by foundation models, LLMs, RAG, and agentic AI architectures for a highly regulated financial services environment.
Role type
VP, Technical AI Foundation Model Engineer (hands-on IC with leadership)
Builds
Production-ready AI platforms, scalable model-serving architectures, AI APIs, and agentic AI workflows
Domain
Financial Services / Enterprise AI / Large Language Models
Deliverable
production ML models | product features | infrastructure
Required skills
Foundation Models, LLMs, Agentic AI Systems, RAG, Embeddings, Semantic Search, Vector Databases, Prompt Engineering, Fine-Tuning, Python, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, AWS, Azure, Kubernetes, CI/CD, MLOps, LLMOps, Model Monitoring, Cost Optimization
Preferred skills
Experience in regulated industries (banking, insurance, healthcare, government), leading technical teams, executive communication
Technologies
PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, Kubernetes, AWS, Azure
Responsibilities
Design and optimize enterprise AI solutions leveraging foundation models and agentic architectures; Lead solution architecture for AI applications across cloud platforms; Own end-to-end model lifecycle management including experimentation, deployment, and monitoring; Ensure AI systems comply with enterprise security, privacy, and compliance requirements; Lead technical design reviews and mentor engineers; Translate business requirements into scalable AI architectures
Seniority
VP, hands-on IC with strategic leadership
