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Forward Deployed AI Engineer
XTM InternationalCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI-driven localization workflows, integrating advanced AI features with content management systems, and optimizing translation processes through data analysis and automation. Proficient in presenting technical solutions and business value to diverse stakeholders, including engineering teams and executives.
Highest-signal resume keywords
Artificial Intelligence ExpertiseLarge Language Models (LLMs)REST APIs and WebhooksPython ProgrammingTranslation Management Systems (TMS)
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, and technically validate custom AI-driven localization workflows for pre-sales and expansion phases
- Lead technical onboarding and deployment of XTM AI features
- Integrate AI features through APIs with clients’ content management systems and data pipelines
- Define client value by mapping 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 within XTM
- Leverage advanced AI matching, automated tagging, and LLM capabilities
- Advise enterprise localization teams through operational change management for AI-augmented translation models
- Monitor post-onboarding feature utilization and identify opportunities to improve AI models, prompts, and customer ROI
- Provide customer feedback and real-world edge cases to XTM Product and R&D teams
- Operate as an individual contributor without direct people-management responsibilities
Requirements
What you’ll need- Profound, self-driven interest in Artificial Intelligence
- Understanding of Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and neural machine translation (NMT)
- Proven track record of experimenting with new AI tools, models, and frameworks outside formal job requirements
- Strong hands-on experience with REST APIs, webhooks, JSON, and XML
- Proficiency in Python or similar scripting languages
- Ability to manipulate localization data including TMX and XLIFF
- Ability to automate tasks or analyze performance datasets
- Familiarity with Translation Management Systems (TMS), Computer-Assisted Translation (CAT) tools, or modern localization workflows highly preferred
- Ability to present complex technical AI architecture to engineering teams and explain business ROI to C-level executives
- Creative technical problem-solving ability to unblock clients and close deals faster
Benefits
Comp & perks- Meaningful work and contribution to business outcomes
- Opportunity to innovate with AI and modern technology
- Global career development opportunities
- Collaboration across disciplines and international teams
- Continuous learning and professional development
- Competitive rewards and benefits supporting professional growth and personal wellbeing
- Recruitment-process accommodations available upon request
- Onboarding support for successful candidates
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI-Driven Localization WorkflowsPrompt EngineeringNeural Machine Translation (NMT)Localization Data ManipulationAutomating TasksPerformance Data AnalysisTranslation Memory (TMX)XLIFFAI Matching and TaggingOperational Change Management
Soft Skills
Creative Problem-SolvingTechnical Presentation Skills
Tools & Technologies
XTMComputer-Assisted Translation (CAT) Tools
Industry Keywords
Localization WorkflowsMachine TranslationCustomer ROIContent Management Systems