Staff AI Deployment Engineer, Australia

altanaai; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

altanaai is seeking a senior role to lead technical implementations for an AI platform used in global trade and supply chain operations. The position involves hands-on agent development, enterprise integration, and delivery ownership, collaborating with customers and internal teams to ensure reliable AI workflows.

The role focuses on scoping, configuring, validating, launching, and supporting implementations to drive measurable adoption and customer success.

Qualifications

• Eight years of customer-facing technical experience.
• Ability to lead complex enterprise implementations and translate business needs into clear technical scope.
• Practical capability in designing, integrating, evaluating, and improving AI agent workflows.

Responsibilities

• Design and deploy multi-step AI agent workflows connecting 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.

Skills

Customer-facing experience

Job description

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.