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Tier-1 employer, metro location and broad senior AI skill requirements increase applicant density.
Highly specialized LLM, VertexAI and agentic AI requirements demand deep ML domain expertise.
Explicit 13+ years, VP title and specialized LLM/VertexAI/GCP requirements create very strict filters.
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Lead design, architecture, and implementation of scalable AI-powered applications using Python, FastAPI/Flask, and Google VertexAI.
Architect and integrate large language models, especially the Gemini Model, for advanced NLP and generative AI applications.
Lead development of conversational AI agents and agentic AI systems using Dialogflow CX, ADK, and LangGraph; manage AI cloud infrastructure and API integrations.
13+ years of professional experience in AI engineering roles with leadership responsibility.
Bachelor's, Master's, or PhD in Computer Science, AI/ML Engineering, Statistics, Mathematics, or Engineering.
Expertise with Python, FastAPI/Flask, Google VertexAI platform, large language models (especially Gemini Model), conversational AI (Dialogflow CX), and cloud services including GCP CloudRun/GKE, BigQuery, and CloudSQL.
Experience with AI operations (AIOps), API design and integration, and strong strategic problem-solving skills.
Experienced AI engineering leader capable of managing complex AI architecture and deployment at scale using modern tech stacks.
Strategic thinker with strong cross-functional collaboration skills, able to influence and partner with product managers, data scientists, and engineering leaders.
Preferably has domain experience in financial services and strong communication skills for executive-level engagement.