Forward Deployed AI Value Engineer

Excerpt from the original posting

At XTM Group , we build technology that helps enterprises connect with global audiences faster and more efficiently. Our Translation Management platform enables organizations to automate and streamline every stage of the localization process.
We believe innovation happens when talented people collaborate, experiment, and continuously learn. That’s why we foster an inclusive, solution-oriented culture where curiosity, teamwork, and ownership are valued every day. Our mission is to become the leading enterprise Translation Management System — and we’re looking for people who want to help shape the future of global communication technology.
The Role
We are seeking a highly versatile, technically advanced, and commercially astute Forward Deployed AI Value Engineer to join our centralized AI Value Realization team.
In this elite, high-impact role, you will act as a technical and strategic powerhouse, operating directly on the front lines with XTM’s largest enterprise customers and prospects. You will own the entire lifecycle of our AI capabilities—from initial value definition and custom Proofs of Concept (PoCs) to advanced workflow deployment and continuous optimization.
This is not a traditional support or back-office engineering role. As a Forward Deployed Engineer, you will combine deep technical expertise in AI/LLMs with the consultative skills required to redesign localization workflows for global brands, drastically reducing Time-to-Value (TTV).
This is an individual contributor role, and the successful candidate will not have direct people-management responsibilities.
Scope of Tasks
1. End-to-End AI Value Delivery & PoCs
- Proof of Concept Ownership: Design, build, and technical-validate custom AI-driven localization workflows during the pre-sales and expansion phases to outmaneuver competition.
- Deployment & Integration: Lead the technical onboarding and deployment of XTM’s AI features, ensuring seamless integration via APIs with clients' existing content management systems (CMS) and data pipelines.
- Value Definition: Partner with clients at the onset to map their baseline metrics (e.g., translation memory leverage, MT edit distance, cost-per-word, turnaround times) and align XTM’s AI capabilities with their strategic business goals.
2. Workflow Consulting & Change Management
- Workflow Engineering: Audit clients' legacy localization setups and architect automated, AI-first workflows within XTM (leveraging advanced AI matching, automated tagging, and…

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