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Senior, niche AI-platform role in a metro location with moderate brand recognition.
Role requires deep GCP, MLOps, LLMOps, and AI platform experience, limiting cross-industry transferability.
Explicit seniority plus mandatory hands-on GCP/MLOps/LLMOps/GCP platform requirements increase shortlisting strictness.
Lead design and implementation of scalable AI and data platforms on Google Cloud Platform, focusing on secure architecture, governance, and automation.
Operationalize cloud-native AI/ML solutions including Vertex AI and build automation/agentic AI workflows with agent monitoring and safety controls.
Provide technical leadership by mentoring junior engineers, reviewing designs, driving delivery quality, and ensuring secure, observable, and cost-efficient AI platform operations.
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field; Master's preferred.
10-12 years of overall technology experience including 4-5 years hands-on experience with AI engineering and Google Cloud Platform (GCP).
Strong hands-on expertise in AI platform engineering including MLOps, LLMOps, AgentOps with secure production-grade AI system delivery on GCP.
Proficient in AI governance, cloud security controls (IAM, encryption, compliance), automation (Python, TypeScript), and platform operational practices.
Experienced in leading scalable enterprise AI, data, and automation platform architecture on GCP, with deep understanding of generative AI and AI lifecycle management.
Strong technical leader with proven mentoring capabilities, able to define engineering standards and lead cross-functional teams for high-quality delivery.
Skilled in integrating AI platforms with observability, governance, cost optimization, and incident management in fast-evolving enterprise environments.