AI Expertise

1 day ago

Sydney, New South Wales, Australia beBeeArtificialintelligence Full time $180,000 - $220,000
Job Title: Artificial Intelligence Engineer

As an AI Engineer in our Technology Risk Management team, you will play a pivotal role in enhancing technology operational risk management processes and conducting advanced risk analysis.

Key Responsibilities:
  • Design Scalable Platforms to improve how we monitor, assess, and respond to operational risks.
  • Collaborate with engineers, risk analysts, and data specialists to integrate AI models into our ecosystem.
  • Leverage large language models (LLMs) and generative AI to provide deeper risk insights.
  • Build tools to monitor AI systems and ensure compliance with governance standards.
  • Establish best practices for AI adoption, aligning with our broader technology and risk strategies to drive innovation in risk management.

You will work closely with cross-functional teams to develop and deploy innovative AI solutions that enhance technology risk management.

The successful candidate will have:

  • Technical expertise in Python, with hands-on experience in AI frameworks such as LangChain, OpenAI API, Anthropic Claude, Amazon Bedrock, or Google Vertex.
  • Proven experience deploying generative AI applications in production environments, including prompt engineering, model integration, and system monitoring.
  • A platform engineering mindset, focusing on building reusable AI infrastructure, model-serving systems, and developer tools.
  • Knowledge of emerging AI protocols, such as Model Context Protocol and Agent-to-Agent communication protocols.
  • Strong engineering skills, including testing strategies for AI systems, version control, and adherence to quality practices.
  • Experience with cloud platforms (AWS preferred) and AI services (e.g., Bedrock, SageMaker, OpenAI integrations), with an emphasis on cost optimization.
  • A background in full-stack development, enabling end-to-end system design and implementation.
  • A passion for leveraging AI to solve complex challenges and a commitment to driving innovation in operational processes.
Requirements
  • Python Experience: Technical expertise in Python programming language.
  • AI Frameworks: Hands-on experience in AI frameworks such as LangChain, OpenAI API, Anthropic Claude, Amazon Bedrock, or Google Vertex.
  • Generative AI: Proven experience deploying generative AI applications in production environments.
  • Platform Engineering: A platform engineering mindset, focusing on building reusable AI infrastructure.
  • Cloud Platforms: Experience with cloud platforms (AWS preferred) and AI services.
  • Full-Stack Development: A background in full-stack development, enabling end-to-end system design and implementation.
Bonus Points
  • Emerging AI Protocols: Knowledge of emerging AI protocols, such as Model Context Protocol and Agent-to-Agent communication protocols.
  • Cost Optimization: Experience with cloud platforms (AWS preferred) and AI services, with an emphasis on cost optimization.

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