Principal AI Engineer – Microsoft Copilot Studio – Sydney

Delivery Centric Pty Ltd; Sydney; In loco; AUD 200.000 - 260.000; Tempo pieno

Descrizione del lavoro

Delivery Centric Pty Ltd is seeking a Principal AI Engineer – Microsoft Copilot Studio to lead enterprise-scale AI architectures, governance and strategic direction across conversational customer interaction platforms.

You will drive LLM and Agentic AI initiatives, establish security controls, scalable cloud patterns, and responsible AI guardrails while aligning with enterprise technology strategy and governance across the organization.

Competenze

• Strong software engineering background with React/TypeScript and C#/.NET.

Mansioni

• Define and lead enterprise AI and Agentic AI architecture and technical strategy.

Conoscenze

React/TypeScript

C#/.NET

Enterprise architecture

APIs and microservices

Distributed systems

Azure Cloud architecture

AWS Cloud architecture

DevSecOps/CI/CD

LLM/Agentic AI solutions

RAG and vector search

NLP/Conversational AI

AI governance and guardrails

Technical strategy & leadership

Strumenti

Semantic Kernel

Power Platform

Dataverse

Dynamics 365

Descrizione del lavoro

Delivery Centric is seeking an experienced Principal AI Engineer – Microsoft Copilot Studioto lead enterprise-scale AI and Agentic AI architecture, technical strategy and governance across advanced conversational and customer interaction platforms.

The successful candidate will bring deep expertise in designing and delivering AI-powered enterprise platforms, defining architectural standards, establishing AI governance frameworks and ensuring solutions are secure, scalable and alignedwith enterprise technology strategies.

Key Responsibilities

• Define and lead enterprise AI and Agentic AI architecture and technical strategy.
• Architect scalable AI-powered platforms, agentic workflows and conversational solutions.
• Establish architectural standards, governance frameworks, security controls and AI guardrails.
• Define enterprise integration patterns across APIs, microservices and cloud platforms.
• Drive architecture decisions for LLMs, RAG, vector search and multi-agent solutions.
• Establish standards for responsible AI, human-in-the-loop workflows and operational governance.
• Provide architectural direction and technical oversight to engineering teams.
• Ensure scalability, resilience, security and production readiness across AI platforms.
• Evaluate emerging AI technologies and define their adoption within enterprise environments.

Key Skills Required

• Strong software engineering background with React/TypeScript and C#/.NET.
• Enterprise architecture, APIs, microservices and distributed systems.
• Azure and/or AWS Cloud architecture.
• DevSecOps, CI/CD, automated testing and production operations.
• Deep experience designing and delivering LLM and Agentic AI solutions.
• RAG architecture, prompt engineering and vector search.
• Conversational AI, NLU/NLP.
• Enterprise AI governance, security, human-in-the-loop workflows and AI guardrails.
• Technical strategy, architecture leadership and enterprise integration.

Highly Desirable

• Semantic Kernel.
• Dynamics 365 Contact Centre.
• Voice Bots, IVR and PSTN.
• Power Platform and Dataverse.

Delivery Centric is seeking an experienced Principal AI Engineer – Microsoft Copilot Studioto lead enterprise-scale AI and Agentic AI architecture, technical strategy and governance across advanced conversational and customer interaction platforms.

The successful candidate will bring deep expertise in designing and delivering AI-powered enterprise platforms, defining architectural standards, establishing AI governance frameworks and ensuring solutions are secure, scalable and alignedwith enterprise technology strategies.

Key Responsibilities

• Define and lead enterprise AI and Agentic AI architecture and technical strategy.
• Architect scalable AI-powered platforms, agentic workflows and conversational solutions.
• Establish architectural standards, governance frameworks, security controls and AI guardrails.
• Define enterprise integration patterns across APIs, microservices and cloud platforms.
• Drive architecture decisions for LLMs, RAG, vector search and multi-agent solutions.
• Establish standards for responsible AI, human-in-the-loop workflows and operational governance.
• Provide architectural direction and technical oversight to engineering teams.
• Ensure scalability, resilience, security and production readiness across AI platforms.
• Evaluate emerging AI technologies and define their adoption within enterprise environments.

Key Skills Required

• Strong software engineering background with React/TypeScript and C#/.NET.
• Enterprise architecture, APIs, microservices and distributed systems.
• Azure and/or AWS Cloud architecture.
• DevSecOps, CI/CD, automated testing and production operations.
• Deep experience designing and delivering LLM and Agentic AI solutions.
• RAG architecture, prompt engineering and vector search.
• Conversational AI, NLU/NLP.
• Enterprise AI governance, security, human-in-the-loop workflows and AI guardrails.
• Technical strategy, architecture leadership and enterprise integration.

Highly Desirable

• Microsoft Copilot Studio.
• Azure OpenAI / AI Foundry.
• Semantic Kernel.
• Dynamics 365 Contact Centre.
• Voice Bots, IVR and PSTN.
• Multi-Agent Architectures.
• Power Platform and Dataverse.