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Tier-1 brand but highly specialized senior AI role reduces applicant density.
Deep LLM, VertexAI, and agentic AI specialization limits cross-industry transferability.
Explicit 13+ years, mandatory LLM, VertexAI, GCP and leadership experience enforce strict filters.
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Lead design, architecture, and deployment of scalable AI applications leveraging Python, FastAPI/Flask, LangGraph, ADK, and Google VertexAI.
Architect and integrate large language models, focusing on the Gemini Model for NLP and generative AI projects, including Agentic AI orchestration.
Lead cloud infrastructure management and AI operations using GCP services like CloudRun, BigQuery, and CloudSQL ensuring high quality, scalable AI solutions.
13+ years of experience in AI engineering or related roles with leadership responsibilities.
Expert-level proficiency in Python, web API frameworks (FastAPI/Flask), and Google VertexAI platform.
Demonstrated experience with large language models (Gemini Model), conversational AI platforms (Dialogflow CX), and Agentic AI frameworks (ADK, LangGraph).
Bachelor’s, Master’s or PhD in Computer Science, AI/ML Engineering, Statistics, Mathematics, or Engineering.
Experienced AI engineering leader with a strong focus on architecture and deployment of advanced AI workflows and systems.
Proven ability to manage and optimize AI solutions on Google Cloud Platform at scale and integrate complex APIs.
Strategic thinker capable of translating complex business needs into innovative AI products, preferably with financial services domain experience.