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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior AI Solutions Engineer - Generative AI Applications (Remote in Bali)

Google
Bali, Indonesia
Salary Estimate
Rp 700.000.000 – Rp 1.200.000.000
Newest
Live Update
17 Juli 2026
Deadline
17 Jul 2027

job description

Join Google’s elite Global Consulting team as a Senior AI Solutions Engineer specializing in Generative AI (GenAI) Applications. This is a rare opportunity to shape the future of AI-driven solutions while working remotely from the tropical paradise of Bali, Indonesia—where innovation meets island living.

In this high-impact role, you’ll collaborate with Google’s top engineers, data scientists, and global clients to design, develop, and deploy cutting-edge GenAI applications. From large language models (LLMs) to multimodal AI systems, you’ll operationalize AI solutions that transform industries—healthcare, finance, retail, and beyond. Your work will directly influence how businesses leverage AI to solve complex challenges, drive efficiency, and unlock new revenue streams.

As a trusted advisor to Google’s enterprise clients, you’ll bridge the gap between technical feasibility and business value, ensuring AI solutions are scalable, ethical, and aligned with real-world needs. Whether optimizing GenAI models for performance, integrating APIs, or crafting custom AI workflows, you’ll be at the forefront of the AI revolution—with the flexibility to work from Bali’s vibrant tech hubs like Canggu, Ubud, or Denpasar.

Google offers a competitive compensation package, comprehensive benefits, and a culture that values innovation, collaboration, and work-life balance. If you’re a passionate AI engineer with a knack for problem-solving and a desire to work on global-scale AI projects, this is your chance to make an impact while enjoying Bali’s world-class lifestyle.

Note: This role is open to candidates based in Bali or willing to relocate. Remote work flexibility with occasional travel to Google’s APAC offices may be required.

Responsibility

  • Lead the end-to-end development and deployment of Generative AI solutions for enterprise clients, including LLMs, diffusion models, and multimodal AI systems.
  • Collaborate with cross-functional teams (engineers, data scientists, product managers) to translate business requirements into scalable AI architectures.
  • Design and optimize AI pipelines for performance, cost-efficiency, and ethical compliance (e.g., bias mitigation, explainability).
  • Serve as a technical advisor to clients, demonstrating the value of GenAI through proofs-of-concept, demos, and ROI analyses.
  • Develop custom integrations of Google’s AI tools (Vertex AI, PaLM, Imagen) with client systems, ensuring seamless adoption.
  • Stay ahead of AI trends (e.g., retrieval-augmented generation, agentic AI) and evaluate emerging technologies for business impact.
  • Mentor junior engineers and contribute to Google’s AI best practices, including documentation, tutorials, and open-source projects.
  • Travel occasionally to Google’s APAC offices (e.g., Singapore, Tokyo) for client engagements and team collaboration.

Qualifications

  • 5+ years of experience in AI/ML engineering, with a focus on Generative AI (LLMs, diffusion models, or multimodal systems).
  • Proficiency in Python and AI frameworks (TensorFlow, PyTorch, JAX) with experience in model fine-tuning, prompt engineering, and evaluation.
  • Hands-on experience with Google Cloud AI tools (Vertex AI, PaLM API, BigQuery ML) or equivalent cloud platforms (AWS SageMaker, Azure AI).
  • Strong background in software engineering (APIs, microservices, CI/CD) and MLOps (Docker, Kubernetes, TFX).
  • Experience working with enterprise clients to design and deploy AI solutions at scale.
  • Familiarity with AI ethics, bias mitigation, and responsible AI principles.
  • Excellent communication and presentation skills—ability to explain complex AI concepts to non-technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field (or equivalent practical experience).

Required Skills

Generative AI Large Language Models (LLMs) Python TensorFlow PyTorch JAX Vertex AI PaLM API MLOps Docker Kubernetes Cloud Computing (GCP/AWS/Azure) API Development AI Ethics Prompt Engineering Model Fine-Tuning Data Science Software Engineering Technical Consulting

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