Senior ML & AI Leader — GenAI, LLM & RAG Solutions

T-Mobile US Inc.; Factoria (WA); On-site; USD 172,000 - 311,000; Full time

Benefits offered by this job

Annual bonus

Stock grants

Employee stock purchase plan

401(k)

Comprehensive benefits

Job summary

T-Mobile US Inc. is seeking a Sr Manager of Machine Learning to lead strategy, architecture, and production delivery of AI/ML including Generative AI and LLMs. You will steer cross-functional teams, align investments with business value, and elevate customer experiences through scalable, secure AI capabilities.

The role covers governance, optimization, and lifecycle management, with emphasis on responsible AI and enterprise-wide impact across product, data, and cloud engineering.

Qualifications

• Bachelor's Degree and 7 years of related work experience (Required).
• 7-10 years of experience leading and managing a team in ML or data science (Preferred).
• 4-7 years experience with data querying, wrangling, cleaning, and feature engineering in big data on AWS/Azure/Google Cloud (Preferred).
• 4-7 years experience building and deploying ML solutions using supervised/unsupervised algorithms (Preferred).

Responsibilities

• Lead strategic AI/ML projects aligned with organizational goals.
• Coordinate cross-functional teams to deploy AI/ML models into operations.
• Manage decisions on team development, resources, and budget.
• Collaborate with departments to ensure effective AI/ML deployment.
• Drive advancements in AI engineering with measurable business impact.
• Define end-to-end AI engineering practices and governance.

Skills

Leadership

Strategy

Collaboration

Project Management

Innovation

Engineering

Generative AI

LLM Engineering

MLOps

AI Security

Education

Bachelor's Degree

Tools

AWS

Azure

Google Cloud

Job description

T-Mobile US Inc. is seeking a Sr Manager of Machine Learning to lead strategy, architecture, and production delivery of AI/ML including Generative AI and LLMs. You will steer cross-functional teams, align investments with business value, and elevate customer experiences through scalable, secure AI capabilities.

The role covers governance, optimization, and lifecycle management, with emphasis on responsible AI and enterprise-wide impact across product, data, and cloud engineering.