Hands-on experience building and deploying AI-driven workflow automation solutions, including AI agents, skills, instruction frameworks, orchestration layers, tool integration and production-ready end-to-end implementations.
Strong experience designing and engineering agent-based AI solutions, including single-agent and multi-agent architectures, large language model integration, prompt engineering, retrieval-augmented generation, evaluation frameworks, observability and performance optimisation.
Experience integrating AI solutions with enterprise platforms through APIs, web services and event-driven architectures, including authentication, authorisation, rate limiting, workflow orchestration and system interoperability.
Experience analysing, modelling and documenting complex technical and operational workflows, translating implicit decision-making, business rules, control requirements and escalation paths into automated AI-enabled processes.
Proficiency in modern web frameworks and API servers (e.g., Flask, FastAPI)
Experience integrating and deploying LLM-based solutions for domain-specific tasks
Strong understanding of cyber security domains including security operations, security monitoring, incident response, identity and access management (IAM), vulnerability management, and data security, with the ability to translate technical concepts into business outcomes.
Demonstrated knowledge of AI governance, responsible AI practices, and model risk management, with the capability to engage and influence senior cyber security stakeholders on strategic, technical, and operational initiatives
We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.
Job description provided by Macquarie Group.
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