Chief AI Innovation Officer

1 week ago

Singapore beBeeGenerative Full time $100,000 - $150,000
AI Architect

We are seeking a highly skilled and experienced AI architect to lead the development of cutting-edge AI solutions across cloud-native environments.

This role combines technical expertise with strategic leadership, enabling customers to translate AI innovation into scalable products from ideation to MVP and beyond.

The ideal candidate will have extensive experience in designing and deploying GenAI-driven applications using frameworks such as LangChain, OpenAI API, and Hugging Face Transformers.

Responsibilities:
  • Design, build, and deploy GenAI-driven applications using containerized, microservices-based cloud-native environments (e.g., Kubernetes, OpenShift).
  • Architect and implement scalable solutions that integrate GenAI models and services seamlessly into existing platforms and services.
  • Collaborate with partner teams on advanced AI solution development and stay ahead of AI trends by applying the latest research into practical applications.
  • Provide expert consultation on GenAI architecture, deployment strategies, and business use case alignment.
Requirements:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5 years of software engineering experience with strong programming skills in Java and Python.
  • Deep expertise in Generative AI frameworks including LangChain, OpenAI, Hugging Face Transformers.
  • Strong foundation in Natural Language Processing (NLP): tokenization, embeddings, transformers, LLMs.
  • Experience with prompt engineering and optimizing AI model interactions.
  • Proven success designing and deploying cloud-native solutions using Kubernetes, Docker, and microservices.
  • Strong experience with Agile and DevOps practices working in Jira-based environments.
  • Hands-on experience with MLOps CI/CD for ML, model versioning, monitoring.
  • Proficiency in data engineering for AI: ETL, feature pipelines, data labeling, quality control.
  • Knowledge of vector databases e.g. Pinecone, FAISS, Weaviate and retrieval-augmented generation RAG techniques.

Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting

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