Principal AI Architect: Agentic & Conversational AI Lead

Synechron Technologies Pvt. Ltd._INDIA Company; Sydney; On-site; AUD 180,000 - 260,000; Full time

Job summary

Synechron Australia in Sydney seeks a Principal AI Architect / Agentic AI Engineer to lead enterprise-scale conversational and agentic AI solutions. You will design, implement and govern AI orchestration, LLM applications, and integration workflows, collaborating with product and engineering teams to deliver secure, scalable AI platforms.

Ideal candidates bring hands-on software engineering with deep expertise in AI orchestration, RAG, and responsible AI practices, and can guide architectural

Qualifications

• Experience designing AI/Agentic AI or Conversational AI apps.
• Designing agent orchestration and workflow automation.
• Strong engineering and collaboration skills.
• Hands-on with cloud-native architectures.

Responsibilities

• Design and architect Agentic AI and Conversational AI solutions for enterprise use cases.
• Build intelligent AI agents with orchestration, tool integrations, decision‑making workflows, and human‑in‑the‑loop escalation.
• Develop and optimise LLM‑powered applications leveraging RAG, retrieval systems, and knowledge bases.
• Lead engineering design, architecture reviews, and technical delivery across AI initiatives.
• Collaborate with business, product, and engineering teams to deliver scalable and secure AI solutions.
• Define best practices for AI governance, evaluation, observability, and responsible AI.

Skills

Agentic AI

Conversational AI

NLU

Orchestration

API integrations

Cloud-native

AI governance

Human-in-the-loop

Tools

Azure OpenAI

Copilot Studio

LLM frameworks

Job description

Synechron Australia in Sydney seeks a Principal AI Architect / Agentic AI Engineer to lead enterprise-scale conversational and agentic AI solutions. You will design, implement and govern AI orchestration, LLM applications, and integration workflows, collaborating with product and engineering teams to deliver secure, scalable AI platforms.

Ideal candidates bring hands-on software engineering with deep expertise in AI orchestration, RAG, and responsible AI practices, and can guide architectural