AI Engineer

Mandatory Requirements

• 5+ years of experience designing, developing, and delivering high-performance data platforms and agentic solutions.
• Proven experience designing enterprise cloud solutions and supporting customer projects through successful completion.
• Strong expertise across the GCP stack, including AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE), Gemini Enterprise, and Agent Platform (formerly Vertex AI).
• Advanced Python skills, including data structures, algorithms, and software design principles.
• Experience with infrastructure provisioning automation, DevOps/MLOps practices, and CI/CD implementation.
• Google Cloud Professional Machine Learning Engineer certification.

Preferred Qualifications

• Experience providing technical consulting for Data and AI platforms.
• Proven experience architecting production-grade, internet-scale Big Data and Machine Learning solutions on public cloud services.
• Experience collaborating with Data Scientists and Software Engineers to deliver data-driven solutions.