Senior Vice President - AI Lead Engineer - Banking Technology
Core
Lead the design, development, and deployment of scalable agentic AI frameworks and generative AI solutions for critical banking use cases.
Role type
Senior Vice President - AI Lead Engineer (Hands-on IC)
Builds
Scalable agentic AI frameworks, generative AI solutions, and full-stack applications integrating ML/LLM tools.
Domain
Banking Technology / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python (FastAPI, Django, Flask, PySpark), AI principles (knowledge representation, automated planning, multi-agent systems), ML frameworks (TensorFlow, PyTorch), LLMs (ChatGPT, Claude, Gemini, Llama), MCPs (Model Context Protocol), API design, Docker, Kubernetes, database technologies (Oracle, Postgres, MongoDB), CI/CD, system design.
Preferred skills
UI development (Angular, React, Next.js, Node.js, TypeScript), Java (Spring Boot, Spring Cloud, Spring Security), banking/financial services industry experience.
Technologies
FastAPI, Django, Flask, PySpark, TensorFlow, PyTorch, Scikit-Learn, NumPy, Pandas, Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N, Git, Oracle, Postgres, MongoDB, Docker, Kubernetes, Angular, React, Next.js, Node.js, TypeScript, Spring Boot, Spring Cloud, Spring Security.
Responsibilities
Spearhead end-to-end design and deployment of agentic AI frameworks; Build full-stack applications integrating ML/LLM tools; Champion MVP-first approach with rapid iterations and A/B experiments; Design and implement metrics and evaluation strategies for AI system performance; Proactively prototype and integrate latest AI advancements; Provide hands-on technical leadership and guide architectural decisions.
Seniority
Senior Vice President, hands-on IC