GenAI Solutions Engineer in Sydney

GenAI Solutions Engineer in Sydney

Sydney Full-Time 123750 - 151250 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and deploy enterprise-grade AI systems that drive real business value.
  • Company: Sia Partners, a leading consultancy in AI and Data solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Exciting projects with a focus on innovation and transformation.
  • Why this job: Join a dynamic team and shape the future of Generative AI in businesses.
  • Qualifications: Experience in AI technologies and strong collaboration skills required.

The predicted salary is between 123750 - 151250 $ per year.

Sia Partners in Sydney is seeking a GenAI-focused engineer within the AI & Data Business Unit to help organizations transform processes through Generative and Agentic AI.

Working with Data Scientists, ML Engineers, Solution Architects, and Platform Engineers, you will design, build, and deploy enterprise-grade AI systems that create measurable business value.

You will design prompts, orchestration, RAG systems, and agentic AI using LangGraph, LangChain, AutoGen, Semantic Kernel, and related technologies.

GenAI Solutions Engineer in Sydney employer: Sia Partners'

Sia is an exceptional employer that fosters a dynamic and innovative work culture, where employees are encouraged to push the boundaries of AI technology. With a strong commitment to professional growth, Sia offers opportunities for meaningful contributions in a collaborative environment, ensuring that every team member can thrive while making a significant impact on clients' transformation journeys. Located in a vibrant city, Sia provides a unique blend of creativity and responsibility, making it an ideal place for those passionate about driving change through cutting-edge AI solutions.

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Contact Details:

Sia Partners' Recruitment Team

We think you need these skills to ace GenAI Solutions Engineer in Sydney

Generative AI
Agentic AI
LangGraph
LangChain
AutoGen
Semantic Kernel
Prompt Design