AI Engineer

T-Mobile • Frisco, TX

1d • $110,200 - $198,700

About The Position

T-Mobile is hiring multiple AI Engineers to build and support the infrastructure, platforms, models, and safeguards that enable enterprise-wide use of AI. The team determines how AI capabilities are introduced and maintained, including which platforms and models are enabled and how agents are monitored and corrected. The role supports AI systems operating across T-Mobile, a company serving more than 100 million customers.

The position focuses on applying AI to customer service and operational workflows. Engineers design retrieval-augmented generation pipelines, develop and tune AI models, create tools for integrating AI into business processes, and collaborate across teams to deliver improvements in customer satisfaction and efficiency. Other duties and projects may be assigned by business management.

The role requires a bachelor’s degree and three years of related experience, or an advanced degree and one year of related experience. It also requires at least two years of experience developing and deploying machine-learning models, using AI tools and programming languages such as Python or R, and collaborating with cross-functional teams to integrate AI into business workflows. Preferred certifications include Certified Analytics Professional, Machine Learning Certification, and Certified Data Scientist. Applicants must be at least 18 and legally authorized to work in the United States. Travel is not required.

Requirements

• Bachelor’s degree plus 3 years of related work experience, or an advanced degree plus 1 year of related work experience.
• Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, and Data Science.
• At least 2 years of experience developing and deploying machine-learning models, including fine-tuning and prompt engineering.
• At least 2 years of experience with AI tools and software development using programming languages such as Python or R.
• At least 2 years of experience collaborating with cross-functional teams to integrate AI solutions into business workflows.
• Knowledge of data management and data modeling, including RAG, vector databases, and embeddings.
• Knowledge of prompt engineering, LLM orchestration, and RAG workflow design.
• Python skills and familiarity with LLM orchestration frameworks such as LangChain or ADK.
• Cloud computing experience involving RAG deployment, LLM application infrastructure, and vector database or cloud AI services.
• Data analysis and model-tuning skills.
• Customer-focused approach and collaboration skills.
• At least 18 years of age.
• Legally authorized to work in the United States.

Nice To Haves

• Certified Analytics Professional (CAP) certification.
• Machine Learning Certification.
• Certified Data Scientist (CDS) certification.

Responsibilities

• Design and implement retrieval-augmented generation (RAG) pipelines that ground AI responses in enterprise knowledge sources.
• Develop AI models to improve customer service automation, 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 and ensure their functionality.
• Design AI systems that improve interaction capabilities within complex service workflows.
• Contribute to strategic AI initiatives that advance customer satisfaction and efficiency.
• Perform other duties and projects as assigned by business management.

Benefits

• Competitive base salary and compensation package.
• Annual stock grant and employee stock purchase plan.
• 401(k).
• Access to free, year-round money coaches.
• Annual bonus or periodic sales incentive or bonus, depending on role and eligibility.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• Flexible spending account.
• Paid time off and up to 12 paid holidays.
• Paid parental and family leave.
• Family building benefits and back-up care.
• Enhanced family support and childcare subsidy.
• Tuition assistance and college coaching.
• Short- and long-term disability coverage.
• Voluntary AD&D, accident, life, disability, and long-term care coverage.
• Mobile service and home internet discounts for eligible employees.
• Pet insurance for eligible employees.
• Commuter and transit programs for eligible employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level