Engineer, Enterprise AI

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Job Overview
The Engineer, AI Modeling at T-Mobile’s Enterprise AI team plays a key role in designing and deploying advanced AI solutions that drive employee productivity, process optimization, business transformation, and decision intelligence. This role involves leveraging state-of-the-art AI technologies such as LLM APIs, Custom GPTs, Agentic workflows, and Retrieval-Augmented Generation (RAG) frameworks to develop and refine intelligent systems that enhance automation, streamline operations, and enable smarter decision-making across the organization. Working collaboratively with cross-functional teams, the Engineer ensures AI-driven improvements are effectively integrated into enterprise workflows, directly contributing to T-Mobile’s mission of innovation, efficiency, and customer-first transformation.

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!

Job Responsibilities:

• Develop and deploy AI solutions that improve employee productivity, decision intelligence, and business workflows.

• Implement RAG pipelines, agentic flows, and custom GPTs to optimize enterprise use cases.

• Apply prompt engineering, fine-tuning, and LLM usage to enhance AI model performance.

• Design and build AI-powered automation tools for process optimization and enterprise transformation.

• Collaborate with data scientists, engineers, and business stakeholders to integrate AI-driven insights and workflows.

• Monitor, evaluate, and continuously improve AI systems to ensure scalability, reliability, and measurable impact.

• Contribute to strategic AI initiatives, aligning solutions with T-Mobile’s long-term business and operational goals.

Education and Work Experience:

• Bachelor's Degree Computer Science, Engineering, or Related Field (Required)

• Master's/Advanced Degree Artificial Intelligence, Data Science, or Related Field (Preferred)

• 1–3 years of experience in AI/ML engineering, applied AI, or intelligent systems development.

• Hands-on experience with LLM development, OpenAI API usage, custom GPT creation, and RAG implementations.

• Proficiency in Python (preferred), with experience in libraries such as PyTorch, TensorFlow, LangChain, or similar.

• Experience integrating AI into business applications, workflows, or enterprise platforms.

Knowledge, Skills and Abilities:

• Data Analysis- Ability to analyze and interpret complex data to improve AI models. (Required)

• Problem Solving- Capability to identify and resolve issues within AI systems and model development. (Required)

• Technical Writing- Proficiency in documenting AI model specifications and modifications. (Preferred)

• Collaboration - Ability to work effectively with multi-functional teams to integrate AI solutions. (Required)

• Agile Methodologies Experience in agile project management to facilitate rapid and effective AI development cycles. (Preferred)

• Strategic Thinking- Skill in developing long-term AI strategies aligned with business objectives. (Preferred)

• Innovation- Ability to innovate and apply creative solutions in AI model development. (Preferred)

• Customer Focus- Focus on enhancing customer service through AI-driven solutions. (Required)

• Technology Management- Skill in managing technology resources and tools essential for AI development. (Preferred)

• Analytics Strong analytical skills to evaluate the performance of AI models. (Required)

Licenses and Certifications:

• Certified Analytics Professional (CAP): Certification that validates an individual's expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred)

• Machine Learning Certification: Certification demonstrating proficiency in machine learning techniques and applications, relevant for developing A