**Job Description** *Australia*.
As a **Senior Sales Engineer**, you will be a trusted technical advisor and strategic partner to our enterprise clients.
You'll collaborate closely with account executives, product management, and engineering to demonstrate the power of Uniphore's Business AI Cloud platform - helping Fortune **** organizations design, prototype, and deploy intelligent AI systems that drive measurable business outcomes.
You'll lead the technical sales cycle from discovery to proof of concept, translating complex enterprise challenges into transformative AI solutions that showcase Uniphore's innovation, scalability, and value.
Uniphore, a global Business AI technology company, is seeking an experienced Senior Sales Engineer to join its high-performance Sales Engineering team to support its customer and strategic partners in Our mission is to become trusted advisors to the clients and partners we work with, while advocating Uniphore's AI platform.
The sales engineering organization bridges our cutting-edge AI technologies with customer business outcomes—designing, showcasing, and delivering solutions that accelerate adoption, drive growth, and ensure customer success across industries and geographies.
We will keep our client's interests in the forefront while solving unique business problems harnessing the power of Uniphore's AI platform and pre-built solutions.
**Key Responsibilities** Translate business requirements into AI solution architectures that leverage Uniphore's capabilities, collaborating with product and engineering teams.
**Skills and Qualifications** 6+ years of experience in pre-sales, solution engineering, or technical consulting – preferably within enterprise SaaS, AI, or automation platforms.Deep knowledge of data ingestion, identity resolution, event tracking, and API-based integrations.
Experience designing or selling AI platforms, data orchestration, or enterprise automation solutions.
Demonstrated understanding of cloud computing principles and architecture, particularly as they relate to deploying and scaling enterprise AI/SaaS solutions (e.g., AWS, Azure, or GCP).
This includes familiarity with core services like compute, storage, networking, and serverless functions.Solid Understanding of API Integration and Security: Practical experience with designing, integrating, and securing API connections between AI platforms and underlying business applications (e.g., CRM, ERP, data warehouses).
Knowledge of protocols (e.g., REST, GraphQL) and authentication mechanisms (e.g., OAuth 2.0, API keys) is essential.Data and Network Architecture Acumen: Ability to discuss and propose solutions regarding data governance, network segmentation, and enterprise security requirements when deploying cloud-native or hybrid AI solutions.Strong ability to explain technical concepts to both technical and non-technical stakeholders.
Excellent communication, presentation, and stakeholder management skills with the ability to engage with all levels within large enterprises, from C-suite to technician.Strong problem-solving and storytelling skills—able to connect AI capabilities to strategic business outcomes.
Ability to travel as needed for client engagements.
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