Advanced GenAI Solutions Architect

2 weeks ago

Sydney, New South Wales, Australia beBeeDataScientist Full time $150,000 - $200,000
Job Opportunity

We are seeking a senior data scientist with expertise in Generative AI to join our team. As an AI Data Scientist, you will be responsible for designing and deploying cutting-edge Generative AI solutions to tackle complex business challenges.


Our ideal candidate will have a strong ability to productionise AI/ML models, write maintainable code, and work in cloud environments (AWS, GCP, Azure). You will also have experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) techniques, AI agents, prompt engineering, and frameworks such as LangChain, LlamaIndex, LangGraph, AWS Bedrock Agents & Bedrock Agentcore, GCP Agentspace, etc.


A personal passion for GenAI is essential, demonstrated through personal projects, experimentation, or active use of tools like GitHub Copilot or Claude Code to enhance creativity and productivity. Strong business and communication skills are also required, including the ability to translate technical concepts into business value and collaborate effectively with stakeholders to deliver impactful solutions.


Leadership and mentoring experience is highly valued, with a passion for knowledge sharing and fostering a high-performing, collaborative team culture.


Responsibilities
  • Design and deploy cutting-edge Generative AI solutions to tackle complex business challenges
  • Productionise AI/ML models, write maintainable code, and work in cloud environments (AWS, GCP, Azure)
  • Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) techniques, AI agents, prompt engineering, and frameworks
  • Personal passion for GenAI, demonstrated through personal projects, experimentation, or active use of tools
  • Strong business and communication skills, including translating technical concepts into business value
Qualifications
  • Proven expertise in Generative AI (GenAI) and Large Language Models (LLMs)
  • Hybrid data science and engineering skillset, with strong ability to productionise AI/ML models
  • Experience working with cloud environments (AWS, GCP, Azure)
  • Personal passion for GenAI, demonstrated through personal projects, experimentation, or active use of tools
  • Strong business and communication skills, including translating technical concepts into business value
  • Leadership and mentoring experience, with passion for knowledge sharing and fostering team culture
Benefits
  • Wellbeing days
  • Additional service bonus leave days
  • Up to 20 weeks' paid parental leave for primary caregivers
  • 2 days of paid volunteer leave and donation matching
  • Access to Employee Assistance Program and wellbeing benefits
  • Access to salary packaging options
  • Access to learning and development opportunities
  • Flexible working arrangements
Diversity, Equity and Inclusion

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities.

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