Staff Forward Deployed Ingénieur, GenAI, Google Cloud — Google Switzerland
NouveauCHF 73 500 - 111 500
Google Switzerland · Zürich (ZH)
- Lieu
- Zürich
- Contrat
- full-time
- Publié
- Hier
SalaireCHF 73 500 - 111 500
Vue d’ensemble du poste
Google Zürich, Switzerland Minimum qualifications
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript or comparable languages.
- Google Zürich, Switzerland Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript or comparable languages.
Exigences principales
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript or comparable languages.
- Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
- Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
- Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions.
Processus de candidature
- Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for the Engineering teams.
Entreprise et contexte
- Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.
Détails supplémentaires
- Google Zürich, Switzerland Minimum qualifications:
- Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Notes et contenu original
- Google Zürich, Switzerland
- Minimum qualifications:
- About the job
- Responsibilities
