job description
Join Google Cloud as a Forward Deployed Engineer specializing in Generative AI and shape the future of enterprise AI solutions. In this high-impact role, youâll collaborate with cross-functional teams to deploy cutting-edge AI models, optimize performance, and drive innovation for global clients. Based in the vibrant hubs of Bali, Indonesia (Canggu, Ubud, Denpasar, and more), youâll work at the intersection of technology and business, ensuring seamless integration of Google Cloudâs AI capabilities into real-world applications.
This is a unique opportunity to work on transformative projects while enjoying the dynamic lifestyle of Bali. Whether youâre refining large language models, designing scalable AI pipelines, or advising clients on best practices, your expertise will directly influence the next wave of AI adoption in enterprises worldwide.
Why Google Cloud? Be part of a team thatâs redefining whatâs possible with AI, backed by Googleâs unparalleled infrastructure, resources, and culture of innovation. Enjoy world-class benefits, professional growth, and the flexibility to work from paradise.
Responsibility
- AI Solution Deployment: Lead the end-to-end deployment of Generative AI models on Google Cloud, ensuring scalability, reliability, and performance.
- Client Collaboration: Partner with enterprise clients to understand their AI needs and tailor Google Cloud solutions to drive business outcomes.
- Technical Guidance: Provide expert advice on AI/ML best practices, architecture design, and optimization for large-scale systems.
- Performance Tuning: Fine-tune AI models and infrastructure to maximize efficiency, cost-effectiveness, and user experience.
- Cross-Functional Leadership: Work with product, engineering, and sales teams to align technical solutions with market demands.
- Innovation & R&D: Stay ahead of AI trends, experiment with new technologies, and contribute to Google Cloudâs AI roadmap.
- Documentation & Training: Create technical documentation, tutorials, and training materials to empower clients and internal teams.
- Troubleshooting: Diagnose and resolve complex technical issues related to AI deployments and cloud infrastructure.
Qualifications
- Technical Expertise: 5+ years of experience in software engineering, with a focus on AI/ML, cloud computing (GCP/AWS/Azure), or distributed systems.
- Generative AI Knowledge: Hands-on experience with large language models (LLMs), transformers, or similar AI frameworks.
- Cloud Proficiency: Deep understanding of Google Cloud Platform (GCP) services, including Vertex AI, BigQuery, and Kubernetes.
- Programming Skills: Fluency in Python, Java, or Go, with experience in AI/ML libraries (TensorFlow, PyTorch, etc.).
- Problem-Solving: Strong analytical and debugging skills to tackle complex, large-scale technical challenges.
- Communication: Excellent verbal and written communication skills to articulate technical concepts to diverse audiences.
- Collaboration: Proven ability to work in fast-paced, cross-functional teams with a customer-centric mindset.
- Education: Bachelorâs degree in Computer Science, Engineering, or a related field (or equivalent practical experience).