Associate AI Engineer
T-MOBILE USA, Inc. | |
$80,900 - $146,100
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life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k)
| |
United States, Washington, Bellevue | |
3625 132nd Ave Se (Show on map) | |
Aug 29, 2026 | |
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At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! Are you ready to join the Un-carrier movement?The Assoc Engineer, AI Modeling at T-Mobile is instrumental in supporting the development and optimization of AI models that enhance customer service automation. This role involves applying techniques such as prompt engineering and fine-tuning to improve AI performance. The Assoc Engineer collaborates with cross-functional teams to integrate AI-driven enhancements into production systems, thereby improving customer interactions and satisfaction. By contributing to the architecture of sophisticated AI systems, this role supports the strategic enhancement of T-Mobile's AI capabilities. Overall, the Assoc Engineer plays a key role in ensuring the reliability, accuracy, and efficiency of AI applications in customer service operations. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today! Responsibilities * Assist in building agentic AI systems that accomplish complex tasks by invoking Generative AI models as well as internal and third-party tools using APIs * Support optimization of AI system performance through prompt engineering, fine-tuning, and reinforcement learning. * Develop and maintain supporting software components, scripts, and pipelines to enable AI model deployment, testing, evaluation, and monitoring. * Assist in implementing retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data. * Collaborate with senior AI engineers, backend engineers, business experts, and conversation designers to integrate AI-driven solutions into production environments. * Stay up-to-date with latest LLM advancements in prompt design, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK * Help define and track success metrics aligned with business requirements and contribute to improving model quality. * Participate in other duties or projects as assigned. Knowledge, Skills, and Abilities * Familiarity with LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini). * Exposure to AI orchestration tools such as LangChain, LlamaIndex, and vector databases for retrieval augmented generation. * Basic knowledge of function calling and API-based reasoning models to support automated workflows. * Proficiency in Python and willingness to learn AI development frameworks. * Understanding of multi-agent systems and agentic AI concepts. * Experience with AI evaluation techniques, including test sets, synthetic data generation, and interactive testing. * Strong collaboration, communication, and problem-solving skills; ability to work with cross-functional teams. * Familiarity with Agile development environments to facilitate rapid AI prototyping and iterations. Preferred Knowledge, Skills, and Abilities * Exposure to customer service AI applications and intent-driven automation. * Familiarity with RAG pipelines and vector database retrieval concepts. * Knowledge of AI middleware development and API integration basics. * Awareness of cloud AI platforms (AWS, GCP, Azure) and scalable AI system architectures. Education * Bachelor's degree in Computer Science, Artificial Intelligence, or a related field required. * Master's degree preferred but not mandatory.
Travel: Travel Required (Yes/No): No DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Total Target Cash Earnings Opportunity: $88,990 - $160,710 National Base Pay Range: $80,900 - $146,100 The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results. The base pay range reflects the compensation component of this opportunity. The candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, click here.At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary. | |
$80,900 - $146,100
life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k)
Aug 29, 2026