Deskripsi Pekerjaan
Are you ready to shape the future of enterprise intelligence? Capgemini is seeking a visionary Gen AI Architect to join our high-impact team in Singapore. In this strategic role, you will be the bridge between cutting-edge research and scalable business transformation, designing robust AI ecosystems that empower our clients to leverage the full potential of Large Language Models (LLMs) and Generative AI.
As an architect within our global network, you will lead the end-to-end design and implementation of advanced Machine Learning and Gen AI solutions. You will navigate complex technical challenges, from fine-tuning foundational models to architecting RAG (Retrieval-Augmented Generation) pipelines, ensuring that our AI initiatives are not only innovative but secure, scalable, and ethically aligned. If you are passionate about pushing the boundaries of AI technology to drive tangible business outcomes, we want to hear from you.
Tanggung Jawab
- Lead the architectural design of end-to-end Generative AI solutions, including LLMs, diffusion models, and agentic workflows.
- Collaborate with stakeholders to identify high-value business use cases and translate them into technical roadmaps.
- Architect scalable data pipelines and vector database integrations to support enterprise-grade AI applications.
- Oversee the development, fine-tuning, and deployment of foundational models within secure cloud environments.
- Establish MLOps and LLMOps best practices, ensuring high availability, performance, and monitoring of production models.
- Provide technical leadership and mentorship to cross-functional engineering teams during the project lifecycle.
- Ensure compliance with AI ethics, data privacy, and security governance standards.
Kualifikasi
- Master’s or PhD degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Minimum 8+ years of experience in AI/ML engineering, with at least 3 years focused on Gen AI or NLP.
- Deep proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX.
- Extensive experience working with LLM APIs (OpenAI, Anthropic) and open-source models (Llama, Mistral, HuggingFace ecosystem).
- Strong knowledge of vector databases (Pinecone, Milvus, Weaviate) and semantic search architectures.
- Proven track record in deploying AI solutions on major cloud platforms (AWS, Azure, or GCP).
- Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders.