Listed 10 days ago
Principal AI + Dotnet Fullstack Engineer
Engineering - Software
- Location
- Sydney, NSW
- Type
- Full-time
About the role
Job Title: Principal Engineer – AI / Agentic AI Architecture Lead
Role: Principal Engineer
Specialisation: AI / Agentic AI Architecture
Experience: 15+ Years (Preferred)
Employment Type: Contract
Job Summary
We are looking for an experienced Principal Engineer – AI / Agentic AI Architecture Lead to drive enterprise-scale architecture, technical strategy and delivery of AI-powered platforms and Agentic AI solutions.
The ideal candidate will have strong expertise in enterprise architecture, full-stack engineering, AI orchestration, cloud-native platforms and LLM-powered applications. This role requires a hands-on technical leader capable of defining architecture, establishing governance and guardrails, and guiding engineering teams in delivering scalable, secure and reliable AI solutions.
Key Responsibilities
The ideal candidate will be a senior technology leader with a combination of deep software engineering expertise, enterprise architecture capabilities and practical experience delivering production-grade AI and Agentic AI solutions.
Candidates should demonstrate the ability to define technical direction while remaining hands-on in architecture, solution design and engineering delivery.
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
Role: Principal Engineer
Specialisation: AI / Agentic AI Architecture
Experience: 15+ Years (Preferred)
Employment Type: Contract
Job Summary
We are looking for an experienced Principal Engineer – AI / Agentic AI Architecture Lead to drive enterprise-scale architecture, technical strategy and delivery of AI-powered platforms and Agentic AI solutions.
The ideal candidate will have strong expertise in enterprise architecture, full-stack engineering, AI orchestration, cloud-native platforms and LLM-powered applications. This role requires a hands-on technical leader capable of defining architecture, establishing governance and guardrails, and guiding engineering teams in delivering scalable, secure and reliable AI solutions.
Key Responsibilities
- Lead enterprise-scale AI and Agentic AI architecture, technical strategy and solution design.
- Define architectural standards, governance frameworks, security controls and AI guardrails.
- Design and deliver scalable AI-powered platforms and intelligent agent ecosystems.
- Drive integration of AI agents with enterprise applications, APIs and business systems.
- Establish reusable frameworks for AI orchestration, RAG, vector search and knowledge retrieval.
- Guide engineering teams across React/TypeScript, C#/.NET, APIs and cloud-native development.
- Define human-in-the-loop workflows, escalation mechanisms and Responsible AI practices.
- Drive agent observability, evaluation, reliability, performance and operational excellence.
- Collaborate with business stakeholders, architects and engineering leaders to translate business requirements into technical solutions.
- Strong software engineering fundamentals across C#, .NET, React and TypeScript.
- Extensive experience in enterprise architecture and solution design.
- Hands-on experience building LLM-powered applications and Agentic AI solutions.
- AI agent development, orchestration and conversational application architecture.
- RAG pipelines, prompt engineering, vector databases and semantic search.
- API development, REST services, microservices and enterprise integrations.
- Cloud-native development using Microsoft Azure and/or AWS.
- CI/CD, DevSecOps, automated testing and production support.
- AI security, governance, observability and performance monitoring.
- Building intelligent AI agents and conversational applications.
- API/tool integration and enterprise system orchestration.
- Retrieval-Augmented Generation (RAG), vector search and knowledge retrieval.
- Intent classification, NLU/NLP, entity extraction and context management.
- Human-in-the-loop workflows and escalation patterns.
- Multi-agent architectures and AI workflow orchestration.
- Agent testing, evaluation, reliability and monitoring.
- Responsible AI implementation and enterprise AI governance.
- Microsoft Copilot Studio.
- Azure OpenAI and Azure AI Foundry.
- Microsoft Semantic Kernel.
- Dynamics 365 Contact Centre.
- Voice Bots, IVR, PSTN and Contact Centre Routing.
- Power Platform and Dataverse.
- Synthetic conversations and automated agent testing.
- Multi-agent orchestration frameworks.
The ideal candidate will be a senior technology leader with a combination of deep software engineering expertise, enterprise architecture capabilities and practical experience delivering production-grade AI and Agentic AI solutions.
Candidates should demonstrate the ability to define technical direction while remaining hands-on in architecture, solution design and engineering delivery.
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
