job description
Join Google Cloud as a Forward Deployed Engineer IV (Developer AI) and become a pivotal bridge between cutting-edge AI products and enterprise innovation. In this role, youâll work directly with Google Cloudâs most advanced AI solutions, embedding yourself within client teams to drive transformative outcomes. As a GenAI Forward Deployed Engineer, youâll collaborate with cross-functional teams to deploy, optimize, and scale AI-driven applications, ensuring seamless integration with Google Cloudâs ecosystem.
This is a unique opportunity to shape the future of AI adoption in Southeast Asia, particularly in dynamic markets like Indonesia. Youâll leverage your technical expertise to solve complex challenges, mentor clients, and accelerate AI-driven digital transformation. Based in Bali, youâll enjoy a flexible remote work environment while contributing to high-impact projects that redefine how businesses harness AI.
Google Cloud is at the forefront of AI innovation, and this role offers unparalleled exposure to next-generation technologies, including large language models (LLMs), generative AI, and cloud-native development. If youâre passionate about AI, thrive in collaborative environments, and want to make a tangible difference, this is your chance to join a world-class team.
Responsibility
- Embed with client teams to design, deploy, and optimize AI-driven solutions using Google Cloudâs GenAI tools and frameworks.
- Collaborate with product engineers to bridge the gap between frontier AI products and real-world enterprise applications.
- Develop custom AI models, APIs, and integrations to solve complex business challenges, ensuring scalability and performance.
- Provide technical leadership and mentorship to clients, guiding them through AI adoption and best practices.
- Work closely with Google Cloudâs product and engineering teams to provide feedback and shape future AI innovations.
- Conduct workshops, training sessions, and demos to educate clients on AI capabilities and Google Cloudâs offerings.
- Monitor and optimize AI deployments for efficiency, cost-effectiveness, and alignment with business goals.
- Stay ahead of industry trends, emerging technologies, and competitive landscapes to drive continuous improvement.
Qualifications
- Bachelorâs or Masterâs degree in Computer Science, Engineering, AI/ML, or a related field (or equivalent practical experience).
- 5+ years of experience in software engineering, AI/ML development, or cloud solutions, with a focus on generative AI or large language models (LLMs).
- Proficiency in Python, TensorFlow, PyTorch, or similar AI/ML frameworks, with hands-on experience in model training and deployment.
- Strong background in cloud computing (Google Cloud, AWS, or Azure) and experience with cloud-native development (Kubernetes, Docker, etc.).
- Experience with API development, microservices, and scalable system architecture.
- Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
- Strong communication and stakeholder management skills, with the ability to work effectively in cross-functional teams.
- Passion for AI innovation and a track record of driving impactful projects in enterprise or startup environments.