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Staff AI Deployment Engineer, Australia

AI Engineer Full-time Permanent Australia

Job details

Not specified Salary
Australia Eligibility
Staff Experience
Full-time Employment

About this role

Role overview Lead technical implementations for an AI platform used in global trade and supply chain operations. The role combines hands-on agent development, enterprise integration, delivery ownership, and close work with customers and internal engineering, data science, product, and support teams. Success means helping customers adopt reliable AI workflows in their day-to-day processes, not simply launching software.

Responsibilities - Design and deploy multi-step AI agent workflows, connecting them to customer data, APIs, and systems while setting permissions and safeguards. - Develop prompts, evaluation methods, and human review steps; monitor accuracy, cost, and speed, and improve workflows as requirements change. - Lead implementations from scoping and configuration through integration, validation, launch, and support handoff, with measurable adoption goals. - Build integrations, data exchanges, automations, and internal tools to fit the platform to customer processes. - Guide technical discussions with stakeholders, clarify evolving needs, explain trade-offs, and manage delivery expectations and scope. - Coordinate internal contributors, resolve blockers, prioritize account roadmaps, and turn field insights into requirements, reusable guidance, and product feedback.

Requirements - At least eight years of customer-facing technical experience; the listing’s further qualifications are truncated, so additional requirements cannot be confirmed. - The role calls for the ability to lead complex enterprise implementations and translate business needs into clear technical scope and delivery plans. - Practical capability in designing, integrating, evaluating, and improving AI agent workflows is central to the work. - Strong communication and coordination skills are needed to work across customer stakeholders and technical teams.

Nice to have - Experience creating reusable implementation playbooks, templates, and documentation, and feeding recurring customer needs into product planning.

Skills detected in the listing

PythonGoSQLPostgreSQLStakeholder ManagementAWSAzureDockerKubernetesLLM
Detected Oct 15, 2026
Last verified Nov 12, 2026

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