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Tier-1 brand and metro location increase competition, but seniority and niche AI specialization limit applicant density.
Highly specialized LLM, VertexAI, and agentic AI expertise make cross-industry transfers difficult.
Explicit 13+ years, required LLM/VertexAI leadership, and specific tech mandates create strict shortlisting filters.
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Lead design, architecture, and implementation of scalable AI-powered applications and services using Python, FastAPI/Flask, and Google VertexAI.
Architect, integrate, and fine-tune large language models, especially the Gemini Model, for advanced NLP and generative AI use cases.
Drive development of conversational and agentic AI systems, API integrations, and lead deployment and operational monitoring on Google Cloud Platform services.
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.
Expert-level skills in Python (including data science libraries), FastAPI/Flask, and Google VertexAI platform.
Strong experience with large language models (notably Gemini Model), conversational AI (Dialogflow CX), API design, and Google Cloud Platform services (CloudRun/GKE, BigQuery, CloudSQL).
Experienced technical leader with a track record of deploying and scaling complex AI solutions in production environments.
Strategic thinker capable of leading cross-functional collaboration and translating complex business needs into AI technology roadmaps.
Familiar with agentic AI orchestration frameworks (ADK, LangGraph) and AIOps practices, preferably with exposure to financial services domain.