Senior AI Engineer, Enterprise AI
T-Mobile
full-time
Posted on:
Location Type: Office
Location: Bellevue • Texas, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $120,700 - $217,800 per year
Job Level
Senior
About the role
- Optimizes AI performance through prompt engineering and fine-tuning techniques to enhance customer service automation
- Develops AI tools and workflows to support the implementation of advanced AI systems within customer service operations
- Architects sophisticated agentic AI systems to improve reasoning and interaction capabilities across complex workflows
- Collaborates with cross-functional teams to ensure seamless integration of AI-driven enhancements into production systems
- Evaluates the reliability, accuracy, and efficiency of AI models to ensure they meet strategic objectives and customer satisfaction goals
- Conducts ongoing research to stay updated with the latest AI technologies and methodologies applicable to customer service
Requirements
- Bachelor's Degree Computer Science, Artificial Intelligence, or Related Field (Preferred)
- Master's/Advanced Degree Computer Science, Artificial Intelligence, or Data Science (Preferred)
- Experience in developing and optimizing AI models for customer service automation using advanced techniques such as prompt engineering and fine-tuning. Preferred
- Experience in architecting and deploying sophisticated agentic AI systems to enhance reasoning and interaction capabilities in complex workflows. Preferred
- Experience in collaborating with cross-functional teams to integrate AI-driven enhancements into production systems. Preferred
- Data Analysis Expertise in analyzing data to derive insights and inform AI model improvements. (Required)
- Problem Solving Ability to troubleshoot and resolve complex technical issues related to AI systems. (Required)
- Strong communication skills to effectively collaborate with cross-functional teams and articulate technical concepts. (Required)
- Proficiency in documenting AI system architectures, processes, and user guides. (Preferred)
- Familiarity with Agile practices to adapt to rapidly changing technical requirements and environments. (Preferred)
- Ability to work effectively with various teams including engineering, product management, and customer service. (Required)
- Capability to envision and execute strategies that enhance AI-driven customer service solutions. (Preferred)
- Creative thinking skills to develop new and innovative solutions within the AI space. (Preferred)
- Understanding of telecommunications systems and technologies to better integrate AI solutions. (Preferred)
- Certified Analytics Professional (CAP): Certification that endorses an individual's expertise in analytics, including the ability to transform complex data into valuable insights and actions, which is crucial for optimizing AI models in customer service automation. (Preferred)
- NVIDIA Deep Learning AI Certification: This certification demonstrates proficiency in designing and deploying deep learning AI applications, relevant for enhancing AI model performance in complex systems like customer service workflows. (Preferred)
- Certified Data Scientist (CDS): Certification that validates the skills required to analyze data scientifically and use it for operational improvements, which supports the development and optimization of AI tools and workflows. (Preferred)
Benefits
- Medical, dental and vision insurance
- Flexible spending account
- 401(k)
- Employee stock grants
- Employee stock purchase plan
- Paid time off
- Up to 12 paid holidays
- Paid parental and family leave
- Family building benefits
- Back-up care
- Enhanced family support
- Childcare subsidy
- Tuition assistance
- College coaching
- Short- and long-term disability
- Voluntary AD&D coverage
- Voluntary accident coverage
- Voluntary life insurance
- Voluntary disability insurance
- Voluntary long-term care insurance
- Mobile service & home internet discounts
- Pet insurance
- Access to commuter and transit programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI performance optimizationprompt engineeringfine-tuning techniquesAI model developmentAI system architecturedata analysistroubleshootingdocumentation of AI architecturesAgile practicescustomer service automation
Soft skills
problem solvingstrong communicationcollaborationcreative thinkingstrategic execution
Certifications
Certified Analytics Professional (CAP)NVIDIA Deep Learning AI CertificationCertified Data Scientist (CDS)