Forward Deployed AI Value Engineer

Role overview

AI value delivery and workflow consulting

• Design, build, and validate custom AI-driven localization workflow proofs of concept for pre-sales and expansion.
• Lead onboarding and AI-feature deployment, integrating through APIs with customer content management systems and data pipelines.
• Map baseline metrics such as translation memory leverage, machine-translation edit distance, cost per word, and turnaround times.
• Audit legacy localization setups and architect automated AI-first workflows using AI matching, automated tagging, and LLM capabilities.
• Advise enterprise localization teams on change management for AI-augmented translation models.

Optimization and product feedback

• Monitor feature utilization, tune AI models and prompts, and identify opportunities to improve customer ROI.
• Channel real-world customer production feedback and edge cases to Product and R&D for product enhancement.

AI and technical qualifications

• Demonstrated, self-driven understanding of AI, including LLMs, prompt engineering, RAG, and NMT.
• Track record of experimenting with new AI tools, models, and frameworks beyond formal job requirements.
• Hands-on experience with REST APIs, webhooks, and JSON or XML data formats.
• Proficiency in Python or a similar scripting language for localization data manipulation, automation, or analysis.
• Familiarity with TMS, CAT tools, or modern localization workflows is a significant advantage.

Client-facing qualifications

• Ability to explain technical AI architecture to engineering teams and business ROI to C-level executives.
• Creative problem-solving skills to find technical workarounds and unblock customers.

Working at XTM

• The employer describes opportunities to contribute to business outcomes, innovate with AI and technology, grow across international teams, collaborate across disciplines, and continue learning.
• Compensation and benefits are described as competitive and may vary by location and employment type.

Hiring process

• The hiring process may include an application review, Talent Partner conversation, skills and team discussions, final discussions, and offer and onboarding.