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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of scalable AI systems combining GenAI and agentic workflows on Google Cloud Platform.
Define architecture standards and lead multi-team delivery ensuring safety, reliability, and cost control at enterprise scale.
Build and maintain reusable AI platforms, guardrails, and data pipelines to accelerate monetization of AI-based products.
Minimum Requirements
12–15+ years in software/data/ML engineering with 1+ years hands-on experience in LLMs/GenAI and agentic AI systems.
Proven experience delivering enterprise-scale GenAI/agent platforms on GCP including Vertex AI, BigQuery, Cloud Run, Pub/Sub, Workflows.
Strong proficiency in Java, Python/TypeScript, and infrastructure-as-code tools such as Terraform or GCP Deployment Manager.
Experience building data pipelines with distributed computing frameworks (Dataflow, Spark); security/compliance experience also required.
Ideal Candidate Profile
Demonstrated strategic leadership in platformizing AI capabilities and governing multi-team technical initiatives at scale.
Deep expertise in GenAI, agentic AI architectures, LLMOps, data pipelines, and cloud-native services on GCP.
Experience driving secure, compliant AI solutions with measurable impact on product monetization and operational reliability.