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T-Mobile Logo T-Mobile · IT - Software Development

Sr. AI Engineer

United States, Overland Park 133100.00 - 240100.00 USD / Year · Job Posted March 21, 2026
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Job Description

Lead the evolution of T-Mobile’s Agentic Next Best Action (ANBA) capabilities—powering intelligent, real-time decisioning and enabling the next best customer experiences at scale. Design and optimize agentic AI systems that determine and execute the most effective next action for each customer interaction, while shaping seamless, personalized experiences. Leveraging techniques such as prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and tool-integrated reasoning, you’ll build AI that dynamically orchestrates workflows, invokes APIs, and adapts decisions based on context and intent. Work across engineering, product, and business teams to embed ANBA-driven intelligence into production systems—delivering proactive, outcome-oriented experiences that improve customer satisfaction and business results. This role is critical to advancing T-Mobile’s AI capabilities from traditional automation to autonomous, decision-driven systems that continuously learn and optimize both actions and experiences.

Job Responsibility

  • Builds agentic AI systems that accomplish complex tasks by invoking AI models as well as internal and third-party tools using APIs, ensuring seamless data flow in production environments
  • Optimizes performance of agentic AI systems through innovative techniques such as prompt engineering, fine-tuning and reinforcement learning using T-Mobile’s customer interaction data
  • Develops AI tools, workflows, and middleware to enhance model capabilities, such as structured reasoning, multi-step task execution, and improved contextual memory.
  • Implements retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data.
  • Collaborates in a highly matrixed environment with backend engineers, business experts and conversation designers to ensure AI-driven enhancements are effectively integrated into production environments
  • Tracks success metrics that aligns with business requirements and continuously evaluate and improve model quality based on those metrics
  • Develops internal tooling and automation to streamline AI deployment, evaluation, and self-improvement mechanisms.
  • Monitors real-world AI performance and proactively iterates on model behavior based on live interaction data.
  • Stays up to date with latest LLM advancements in prompt design, prompt optimization, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK

Requirements

  • 4+ yrs developing and deploying machine learning models, particularly in the context of AI-driven customer service automation.
  • 4+ yrs experience with advanced AI techniques such as prompt engineering, fine-tuning, and creating AI tools and workflows
  • 4+ collaborating with cross-functional teams to integrate AI systems into production environments
  • Proficiency in Python and AI development frameworks for building scalable AI applications.
  • Experience with operational excellence practices and observability tools (e.g., Weights & Biases, Splunk, Datadog) for monitoring, logging, and troubleshooting AI systems in production.
  • Experience with project management tools and agile methodologies (e.g., Jira, Azure DevOps) to plan, track, and deliver AI initiatives efficiently in cross-functional environments.
  • Experience in LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini)
  • Experience with AI orchestration tools (e.g., LangChain, LlamaIndex, vector databases for retrieval augmented genetation).
  • Hands-on knowledge of function calling and API-based reasoning models (e.g., using structured outputs to drive automated workflows).
  • Familiarity with RAG pipelines and vector database retrieval for augmenting AI responses.
  • Understanding of multi-agent architectures and best practices in agentic AI design.
  • Experience with real-world AI evaluation techniques, including golden sets, synthetic data generation, and interactive testing.
  • Ability to collaborate across teams, working with engineers, product managers, and conversational designers to refine AI-driven solutions.
  • Bachelor’s degree in computer science, Artificial Intelligence, or equivalent experience.
  • Master's/Advanced Degree in Computer Science or Artificial Intelligence Preferred
  • At least 18 years of age
  • Legally authorized to work in the United States

What we offer

  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • access to free, year-round money coaches
  • medical, dental and vision insurance
  • flexible spending account
  • 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
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