Back
Tier-1 employer, metro location, and broad high-visibility AI leadership requirements increase candidate competition.
Specialized LLM, VertexAI, and agentic-AI skills are transferable, though finance domain experience is preferred.
Mandatory 13+ years plus deep VertexAI/LLM, GCP, and agentic-AI expertise makes filters highly stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, architecture, and deployment of scalable AI-powered applications using Python, FastAPI/Flask, LangGraph, ADK, and Google VertexAI.
Architect and optimize large language models, focusing on the Gemini Model for NLP and generative AI tasks.
Drive cloud infrastructure management and API integration on Google Cloud Platform to ensure robust, scalable AI solutions.
Minimum 13+ years of experience in AI engineering demonstrating leadership and technical mastery.
Expert proficiency in Python, FastAPI/Flask, and Google VertexAI platform.
Strong experience with large language models (particularly Gemini Model) and conversational AI development (Dialogflow CX).
Bachelor’s, Master’s, or PhD in Computer Science, AI/ML, Statistics, Mathematics, or Engineering.
Proven leader in architecting and deploying complex AI applications in enterprise-scale environments.
Deep expertise with Agentic AI orchestration frameworks (ADK, LangGraph) and scalable cloud infrastructure on GCP.
Experience in financial services domain is preferred but not mandatory.