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Senior, niche GenAI role but metro location and popular domain drive moderate applicant density.
Role requires specialized GenAI, agentic, and GCP platform experience, limiting cross-industry transferability.
Explicit 12–15 years requirement plus mandatory LLM/agentic and GCP platform skills make screening highly strict.
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Lead design and scaling of AI systems combining LLM-powered GenAI and agentic workflows on Google Cloud Platform.
Own architecture standards, multi-team delivery, and governance of safety, reliability, and cost at enterprise scale.
Accelerate monetization of AI products via reusable platforms, guardrails, and data pipeline development.
12-15+ years in software/data/ML engineering with 1+ years hands-on experience with LLMs/GenAI and agentic systems.
Proven experience delivering enterprise-scale GenAI/agent platforms on GCP including Vertex AI, BigQuery, Cloud Run, Pub/Sub, and Workflows.
Strong proficiency in Java and Python/TypeScript, infrastructure-as-code tools (Terraform/GCP Deployment Manager).
Experience in security-by-design, privacy, compliance audits, and building data pipelines with distributed computing frameworks (Dataflow, Spark).
Senior technical leader with demonstrated multi-team leadership and impact in platformization and governance for AI systems.
Deep expertise in GenAI model selection, agentic AI design, and data pipeline orchestration on Google Cloud Platform.
Experience driving enterprise-scale, secure, compliant AI solutions with focus on reliability, cost control, and operational excellence.