NCS Group Australia6 followers127 jobs

Senior AI Engineer - Google Cloud Platform (GCP) - Contract or Permanent

SeniorFull-timeOfficeSydney NSW, AustraliaPosted 2 months agoVerified 2 months ago
Pending fitX of Y criteria met

About the job

The job is about joining NCS Australia as a Senior AI Engineer with Google Cloud Platform experience, focusing on advancing AI development capabilities. This position plays a critical role in building intelligent, automated customer interactions that enhance service delivery. The team values innovation, collaboration, and a commitment to creating a better tomorrow together.

You'll be responsible for

🤖

Designing autonomous agents

Design, develop, and orchestrate high-reasoning, context-aware conversational agents utilizing Google Cloud’s advanced AI ecosystem (including Vertex AI and foundational Gemini models).
📊

Optimizing RAG architectures

Blueprint and optimize production-ready Retrieval-Augmented Generation (RAG) architectures and integrate Knowledge Graphs to drive sophisticated, hallucination-free AI reasoning.
💬

Managing complex dialogues

Engineering fluid dialogue state systems capable of handling non-linear, multi-turn user journeys without falling back on rigid, scripted decision trees.

Key criteria

☁️

Google Cloud Platform expertise

Hands-on experience with GCP services like Vertex AI is essential.

View

🤖

Proven AI delivery experience

Demonstrable success in deploying intelligent agents in enterprise settings.

View

📊

Deep technical knowledge

Expertise in RAG architectures and Knowledge Graphs for AI reasoning.

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View more

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5 criteria for this job
Google Cloud Platform expertise
Hands-on experience with GCP services like Vertex AI is essential.

View

Proven AI delivery experience
Demonstrable success in deploying intelligent agents in enterprise settings.

View

Deep technical knowledge
Expertise in RAG architectures and Knowledge Graphs for AI reasoning.

View

Senior engineering mindset
Ability to guide architectural decisions and mentor within AI.

View

MLOps and enterprise scaling
Experience in productionizing and scaling ML workflows in GCP.

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