GenAI Solutions Engineer for Enterprise AI

Sia Partners'; Sydney; On-site; AUD 90,000 - 140,000; Full time

Job summary

Sia Partners is seeking a GenAI-focused engineer to help design and deploy enterprise-grade AI systems in Sydney. You will work with data scientists and platform engineers, building applications that leverage foundation models and scalable architectures.

You will design prompts, orchestration strategies, and retrieval-augmented generation, while ensuring compliance with GDPR and AI-related regulations. English fluency and a collaborative mindset are essential.

Qualifications

• Master’s degree from an engineering school or advanced degree in computer science, engineering, or artificial intelligence with at least one year of technical experience building creative AI solutions.
• Proficient in Python programming and code versioning; experience with Generative AI frameworks (LangChain, LangGraph, RAG) and Open-Source AI ecosystems is a plus.
• Desire to take on high-value assignments in a dynamic organization and push AI technology boundaries.
• Fluency in English and ability to work in a team environment.

Responsibilities

• Assist the GenAI Solution Architect in designing scalable and secure AI solutions.
• Develop applications powered by foundation models, both self-managed and API-accessible, that meet business needs and comply with regulations.
• Design prompting and orchestration strategies to improve reasoning, controllability, reliability, and user experience.
• Design and optimize Retrieval-Augmented Generation (RAG) systems leveraging enterprise knowledge sources, semantic search, and source attribution.
• Design, implement, and optimize agentic AI systems using orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalents.
• Develop AI agents capable of tool usage, workflow orchestration, planning, reasoning, memory management, and human-in-the-loop interactions.
• Architect AI solutions integrating enterprise systems, APIs, databases, and knowledge repositories.
• Evaluate and select models based on business requirements, performance, latency, and costs.
• Monitor AI system performance in production and contribute to observability, evaluation, and governance practices.
• Conduct research on latest advances in foundation models and agentic AI.

Skills

Python programming

Generative AI

Prompting techniques

Cloud-native architectures

Open-Source AI ecosystems

Education

Master's degree in engineering/computer science/AI

Tools

LangChain

LangGraph

RAG

Semantic Kernel

AutoGen

Job description

Sia Partners is seeking a GenAI-focused engineer to help design and deploy enterprise-grade AI systems in Sydney. You will work with data scientists and platform engineers, building applications that leverage foundation models and scalable architectures.

You will design prompts, orchestration strategies, and retrieval-augmented generation, while ensuring compliance with GDPR and AI-related regulations. English fluency and a collaborative mindset are essential.