Field Service AI Technical Architect
Salary not listed • Mexico - Mexico City • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Salesforce is seeking a Field Service AI Technical Architect to join their "AI for Field Service" team. This role is crucial for both internal initiatives and global client-facing projects, focusing on leading customer discovery and implementing scalable AI solutions for complex field service scenarios. The architect will leverage technical expertise, AI, and automation strategies to drive innovation and continuous improvement in field service delivery, ultimately helping businesses achieve their goals through advanced technology.
Responsibilities
- Collaborate with customers and implementers to design and implement AI solutions for field service.
- Develop and implement technical requirements in coordination with customers.
- Define customer KPIs and lead business workshops.
- Design and run simulation experiments to identify optimal techniques for defined KPIs.
- Analyze scheduling outputs using advanced mathematical and AI-based methods to ensure business objective alignment.
- Analyze customer data using AI and dedicated tools to identify operational bottlenecks, presenting findings and recommendations.
- Lead technical programs for complex Field Service use case design and implementation.
- Develop tools and methodologies to enhance the practice and drive innovation.
- Stay updated on product advancements and collaborate with the product team for co-innovation.
Requirements
- Bachelor's degree in a relevant field (Industrial Engineering, Statistics, Computer Science, Mathematics, Economics, etc.).
- Extensive experience in the Field Service domain.
- Experience designing and customizing Salesforce solutions using APEX and Flows (nice to have).
- Experience with Generative AI-based tools.
- Familiarity with the services, scheduling, or logistics industry.
- 3+ years of experience in client-facing and leadership roles within global organizations.
- 3+ years of experience in analytical and problem-solving roles, with an emphasis on data insights.
- Experience using data analysis tools.
- Excellent verbal and written communication skills, with the ability to present complex ideas clearly to technical and non-technical audiences.
- Excellent multitasking skills and adaptability in a dynamic environment.
- Willingness to travel as required (estimated 20-30%).