Principal Consultant - Transformation Project Services & Consulting

Location: Sydney

The Role

You'll join a new Applied AI function tasked with building AI systems that behave reliably and align with business goals. Reporting into the Head of Engineering & Data, you’ll work across engineering and business teams to design, deploy, and govern autonomous AI agents in production.

What You’ll Do
Build RAG pipelines, semantic search, and enterprise knowledge bases using vector databases and cloud‑native LLM platforms.
Design and deliver agentic workloads into production.
Use cloud services and IaC to build, deploy, and manage environments.
Implement technical guardrails such as input validation, output filtering, and hallucination detection.
Work with engineering, product, and business teams throughout the agentic AI lifecycle.
Apply robust prompt engineering, context management, and system tuning.
Research and implement current techniques in agentic architectures, tool‑use patterns, multi‑agent workflows, and A2A communication.




Design and build MCP servers and integrations for agent access to external systems and tools.
Maintain safety documentation, audit trails, and support broader AI governance.
Train teams on AI capabilities and workflows.
Build or use frameworks for automated hallucination checks and response validation.

What We’re Looking For
Degree in Computer Science, Data Science, Engineering, or related field.
3–5 years in machine learning, deep learning, or AI development.
Strong understanding of agentic design patterns: tool use, planning, reasoning, memory, and autonomous orchestration.
Hands‑on experience with LLMs and frameworks such as AgentCore Runtime, Gateway, Strands, or LangChain.
Strong communication and collaboration skills.
Ability to deliver in complex, quick‑paced environments.
Financial services exposure is a plus.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology; Industries: Financial Services and Information Services
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