Your new companyJoin a leading financial services organisation investing heavily in Applied AI and next-generation engineering capabilities.
Your current roleAs a Senior Applied AI Engineer, you'll lead the design and delivery of enterprise-scale agentic AI platforms.
Key responsibilities
Build production-grade AI agents using RAG, semantic search, vector databases and AWS Bedrock.
Drive AI systems through to production, covering deployment, observability, evaluation and optimisation.
Define engineering standards across AWS and Infrastructure-as-Code.
Implement AI guardrails including validation, hallucination detection and output filtering.
Design and build MCP servers and integrations connecting AI agents with enterprise systems and tools.
Evaluate and implement emerging agentic AI patterns, including multi-agent architectures and agent-to-agent communication.
Mentor engineers and provide technical leadership across the AI development lifecycle.
What you'll need to succeed
7+ years' experience in Software Engineering, AI Engineering or a related discipline.




Proven experience building and operating production-scale LLM and agentic AI solutions.
Deep understanding of agentic architectures, tool use, reasoning, orchestration, memory and multi-agent systems.
Strong experience with AWS, AWS Bedrock, LangChain, Strands or similar AI frameworks.
Experience building RAG solutions, semantic search capabilities and applications powered by vector databases.
Expertise in prompt engineering, context management and model evaluation.
Strong communication skills and experience leading or mentoring engineering teams.
Financial services experience highly regarded.
What you'll get in return
Opportunity to shape the technical direction of a greenfield Applied AI function.
Ownership of architecture and engineering standards for enterprise AI platforms.
Exposure to cutting-edge agentic AI technologies and large-scale AI initiatives.
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📌 Senior Applied Ai Engineer (New South Wales)
🏢 Rashi Joshi
📍 New South Wales