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Tier-1 brand, metro location, and broad senior AI skillset create high competition density.
Highly specialized ML/LLM, GCP, and agentic AI expertise limits cross-industry transferability.
Explicit 13+ years and specific LLM, VertexAI, GCP, and orchestration requirements increase strictness.
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Lead design, architecture, and deployment of scalable AI applications using Python, FastAPI/Flask, LangGraph, ADK, and Google VertexAI.
Architect, integrate, and fine-tune large language models, especially the Gemini Model, for NLP and generative AI tasks.
Drive cloud infrastructure management and API architectures on GCP platforms (CloudRun/GKE, BigQuery, Cloud Composer, CloudSQL) with focus on operational excellence and AI model lifecycle management.
13+ years of experience in AI engineering or related roles with leadership responsibilities.
Expert proficiency in Python, large language models (especially Gemini Model), Google VertexAI platform, and API frameworks like FastAPI or Flask.
Strong experience with Google Cloud Platform services including CloudRun/GKE, BigQuery, Cloud Composer, and CloudSQL for AI workloads.
Bachelor’s, Master’s, or PhD in Computer Science, AI/ML Engineering, Statistics, Mathematics, or Engineering.
Proven technical leader capable of architecting complex AI workflows and leading cross-functional teams toward strategic AI deployment.
Deep specialization in large language models and advanced AI orchestration frameworks (ADK, LangGraph) within large-scale enterprise environments.
Experience with financial services domain is preferred but not mandatory; pragmatic approach to deploying AI solutions with operational rigor and governance.