Sr Engineer, AI

T-Mobile•Bellevue, WA

13h•Onsite

About The Position

This role is essential for enhancing artificial intelligence (AI) models that support customer service automation within the organization. It primarily focuses on optimizing AI performance through techniques such as prompt engineering, fine-tuning, and developing AI tools and workflows. The role involves architecting advanced agentic AI systems to improve reasoning and interaction capabilities across complex workflows. Success is measured by the reliability, accuracy, and efficiency of AI models meeting strategic objectives and customer satisfaction goals. The work directly impacts organizational AI capabilities and improves customer service operations through seamless integration of AI enhancements.

Requirements

Data Management/Data Modeling - Retrieval Augmented Generation (RAG); Vector Databases/Embeddings
Prompt Engineering - LLM orchestration and RAG workflow design
Python - LLM Orchestration Frameworks, e.g., LangChain, ADK
Cloud Computing - RAG deployment , LLM application infrastructure, vector database/cloud AI services
Data Analysis
Model Tuning
Customer-Focused Collaboration
Bachelor's Degree
Bachelor’s degree plus 5 years of related work experience OR advanced degree with 3 years of related work experience OR combination of education and experience deemed equivalent (Required)
Acceptable areas of study include Computer Science, Artificial Intelligence, or Related Field
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Master's/Advanced Degree Computer Science, Artificial Intelligence, or Data Science (Preferred)
4-7 years Experience in developing and optimizing AI models for customer service automation using advanced techniques such as prompt engineering and fine-tuning. (Preferred)
4-7 years Experience in architecting and deploying sophisticated agentic AI systems to enhance reasoning and interaction capabilities in complex workflows. (Preferred)
4-7 years Experience in collaborating with cross-functional teams to integrate AI-driven enhancements into production systems. (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)

Responsibilities

Optimize AI performance through prompt engineering and fine-tuning to enhance customer service automation
Develop AI tools and workflows to support implementation of advanced AI systems within customer service operations
Architect sophisticated agentic AI systems to improve reasoning and interaction capabilities across complex workflows
Collaborate with cross-functional teams to ensure seamless integration of AI-driven enhancements into production systems
Evaluate the reliability, accuracy, and efficiency of AI models to ensure alignment with strategic objectives and customer satisfaction
Conduct ongoing research to stay updated with the latest AI technologies and methodologies applicable to customer service
Also responsible for other duties/projects as assigned by business management as needed