AI Engineer

T-Mobile

. Design and implement retrieval-augmented generation (RAG) pipelines to ground AI responses in enterprise knowledge sources .

Posted 9/18/2026full-timeBellevue • Texas • United StatesMid-LevelSenior💰 $110,200 - $198,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing Retrieval-Augmented Generation (RAG) pipelines and AI models to enhance customer service automation. Proficient in prompt engineering, fine-tuning techniques, and integrating AI systems into operational frameworks to drive efficiency and customer satisfaction.

Highest-signal resume keywords

Retrieval Augmented Generation (RAG)Machine Learning Model DevelopmentPython ProgrammingAI Tools and Software DevelopmentCross-Functional Team Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPrompt EngineeringModel TuningData AnalysisAI System DesignLLM OrchestrationCloud ComputingVector DatabasesEmbeddingsAI Tool Development

Soft Skills

Customer-Focused ApproachCollaboration Skills

Tools & Technologies

ClaudeOpenAIGleanLangChainADK

Certifications & Qualifications

Certified Analytics Professional (CAP)Machine Learning CertificationCertified Data Scientist (CDS)

Industry Keywords

AI AutomationEnterprise Knowledge SourcesService WorkflowsFeature RolloutsModel Evaluation

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Design and implement retrieval-augmented generation (RAG) pipelines to ground AI responses in enterprise knowledge sources
Develop AI models to enhance customer service automation capabilities with measurable improvements
Apply prompt engineering and fine-tuning techniques to optimize AI system performance
Create AI tools that support integration of AI-driven improvements into operational frameworks
Collaborate with cross-functional teams to integrate AI systems effectively
Design AI systems that improve interaction capabilities within complex service workflows
Contribute to strategic AI initiatives advancing customer satisfaction and efficiency
Configure GenAI platforms such as Claude, OpenAI, and Glean
Establish pilot groups and manage controlled feature rollouts from test groups to enterprise-wide deployment
Build systems that scan company agents, identify policy drift, excessive token use, and deprecated models, and deploy fixes at scale
Own model evaluation harnesses, model cards, and ongoing model risk checks
Perform other duties and projects as assigned by business management

Requirements

What you’ll need

Bachelor's Degree plus 3 years of related work experience OR advanced degree plus 1 year of related work experience
Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, and Data Science
2+ years developing and deploying machine learning models, including fine-tuning and prompt engineering
2+ years of experience with AI tools and software development using programming languages such as Python or R
2+ years collaborating with cross-functional teams to integrate AI solutions into business workflows
Knowledge of Retrieval Augmented Generation (RAG), vector databases, and embeddings
Knowledge of LLM orchestration and RAG workflow design
Python and LLM orchestration frameworks such as LangChain and ADK
Cloud computing, including RAG deployment, LLM application infrastructure, and vector database/cloud AI services
Data analysis
Model tuning
Customer-focused approach
Collaboration skills
At least 18 years of age
Legally authorized to work in the United States
Travel is not required
Certified Analytics Professional (CAP) certification preferred
Machine Learning Certification preferred
Certified Data Scientist (CDS) certification preferred

Benefits

Comp & perks

Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Annual bonus or periodic sales incentive or bonus, based on role
Medical insurance
Dental insurance
Vision insurance
Flexible spending account
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 and home internet discounts
Pet insurance
Commuter and transit programs
Career growth opportunities