Senior AI/ML Infrastructure & Data Systems Lead

T-MOBILE USA, Inc.; Bellevue (WA); On-site; USD 174,000 - 235,000; Full time

Benefits offered by this job

Annual bonus

Stock grants

401(k)

Paid time off

Health insurance

Job summary

T-Mobile USA, Inc. seeks a senior engineering leader to set technical direction for data services powering customer-facing apps, analytics, and AI-driven products.

You will design and build high-performance APIs, data stores, and real-time sync mechanisms with strong architectural judgment and leadership. You will mentor engineers, influence architecture decisions, and define scalable patterns across the organization to support real-time, AI-ready capabilities that power better products and

Qualifications

• Bachelor's degree in Computer Science or Engineering required.
• 7-10 years of technical engineering experience.
• Advanced degree with 5+ years experience acceptable.

Responsibilities

• Design and build serving infra for AI use cases.
• Create IaC blueprints for provisioning stores, pipelines, and APIs.
• Partner with business and technical teams; mentor engineers.
• Develop high-performance data stores and real-time pipelines.
• Lead projects to meet technical requirements and quality.
• Provide technical leadership and influence decisions.
• Evaluate tech strategies aligned with goals.
• Develop innovative software designs to improve systems.
• Produce architecture docs for stakeholders.
• Handle additional duties as needed.

Skills

AI/ML Infra

Knowledge Graphs

Vector Databases

Streaming Architecture

API Design

Data Sync Pipelines

Cloud Computing

Leadership Skills

Software Development

Technical Writing

Education

Bachelor's in CS/Engineering

Advanced degree (5+ yrs)

Job description

T-Mobile USA, Inc. seeks a senior engineering leader to set technical direction for data services powering customer-facing apps, analytics, and AI-driven products.

You will design and build high-performance APIs, data stores, and real-time sync mechanisms with strong architectural judgment and leadership. You will mentor engineers, influence architecture decisions, and define scalable patterns across the organization to support real-time, AI-ready capabilities that power better products and