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!

The Principal Architect, Machine Learning Solutions (ML), is responsible for developing innovative solutions and technology strategies specifically focused on machine learning (ML) systems. This role involves architecting and building end-to-end solutions for coding, deploying, and maintaining large-scale ML models throughout their lifecycle. The Principal Architect will partner with other senior architects and stakeholders to make recommendations for new procedures and overall architectural approaches, focusing on integrating ML models into scalable, reliable, and maintainable systems.

Responsibilities:

Strategy

• Own solution design for multiple cross domain initiatives and works across domains to ensure cohesive solution.
• Review and identify the gaps in the architecture and solution designs, assesses and defines remediation efforts or mitigation options.
• Drive to practical solutions considering all teams, initiatives and long-term outlook.
• Make and implement complex decisions aimed at improving the quality, effectiveness or ability to achieve revenue, profitability and strategic goals for the organization.
• Work with data science leaders to define and implement the vision of data and AI. ​

Innovation and Leadership

• Lead the overall technical design and end-to-end solution design for assigned initiatives.
• Ensure quality, consistency, and alignment of designs to TMUS standards and digital strategy.
• Lead large cross-domain initiatives supported by E2E Design, applies digital standards to project Solution Architecture, drives Technical Strategy, and architectural tradeoff discussions.
• Balance constraints in IT, business, and delivery to deliver optimal architecture for an initiative.
• Lead design orchestration on large-sized initiatives or work streams.
• Provide input into the definition of Digital Architecture standards as they are created.
• Mentor junior ML Engineering teams based on a scalable set of best practices.
• Establish processes and standard methodologies to train and develop ML Engineering teams.

Technology and System

• Own technical solutions on cross-domain initiatives. Develops innovative solutions and technology strategy. Owns E2E solution design strategy across teams.
• Author artifacts such as Concept Architecture, Top 25 System Impacts, and E2E Solution Architecture documents.
• Support the definition and adoption of common software development processes.
• Prepare and maintain design deliverables, including architecture diagrams, data models, and API/micro-service architecture.
• Enforce design process standards on assigned initiatives.
• Write advanced documentation, including architecture, capabilities, limitations, and advantages for technologies.
• Routinely create and present executive and external materials, including white papers.
• Actively contribute to industry publications and professional forums.

Relationship, People Management, and Project Management

• Interacts with senior management to shape and align solutions against desired minimum viable product scope.
• Applies a broad understanding of products, systems, and technologies across the business portfolio and deep technical ability on integration of these components to deliver a cohesive E2E solution architecture for a given initiative.
• Translates business requirements into technical requirements that the system analysts and other technical team members drive into the project design and delivery

Qualifications:

Education:

• Bachelor's Degree In lieu of Bachelor’s degree, equivalent industry experience may be considered.
• Master's Degree in Computer Science, Statistics, Informatics, Information Systems, Machine Learning or related field preferred.

Work Experience:

• 7-10 years Progressive experience in software engineering/enterprise architecture/technology leadership across multiple products, systems and/or platforms coupled with strong business acumen and executive presence. (Required)
• 7-10 years Experience in data engineering, data science, data pipelines, architectures, and data sets using DataBricks, SQL, Teradata, Oracle, or similar (Required)
• 4-7 years experience in languages such as Python/R, Java/Scala, and/or Go
• 4-7 years experience in Apache Spark or Databricks

Knowledge, Skills and Abilities:

• Software Engineering (Preferred)
• Enterprise Architecture (Required)
• Solution Architecture (Required)
• Technical Leadership (Required)
• Communication (Required)

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No):Yes

DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):No

Base Pay Range: $126,700 - $228,500

Corporate Bonus Target: 20%

The pay range above is the general base pay range for a successful candidate in the role. The successful 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.

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. Most Corporate employees are eligible for a year-end bonus based on company and/or individual 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. To find the pay range for this role based on hiring location, click here.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.