Job Description
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!
Job Overview The Principal Architect for Generative AI Solutions at T-Mobile is responsible for designing and overseeing the integration of generative AI technologies into our platforms and applications. This role involves crafting technical blueprints and collaborating closely with both technical and business teams to develop AI-driven solutions tailored to enhance operational efficiency and innovation. The architect will work alongside data scientists and machine learning operations teams to ensure the successful implementation and scalability of AI functionalities. Through strategic design and leadership, the Principal Architect will significantly contribute to T-Mobile's technological advancement and competitive edge in the market. Their expertise and guidance are crucial in harnessing the potential of generative AI to deliver tangible business benefits and drive growth.
Job Responsibilities :
- Designs and oversees the integration of generative AI technologies into platforms and applications
- Crafts technical blueprints and collaborates closely with technical and business teams to develop AI-driven solutions
- Works alongside data scientists and machine learning operations teams to ensure successful implementation and scalability of AI functionalities
- Leads strategic design initiatives and provides leadership in technological advancement projects
- Guides the application of generative AI to deliver tangible business benefits and drive growth
- Ensures compliance with architectural and technological standards across all AI projects
- Participates in other duties or projects as assigned by business management as needed
Education :
- Bachelor's Degree Computer Science, Artificial Intelligence, or Related Field Required)
- Master's/Advanced Degree Computer Science, Artificial Intelligence, or Related Field (Preferred)
Work Experience :
- 7-10 years experience in solutions design and enterprise architecture delivering IT solutions (Required)
- 4-7 years Progressive experience in software engineering/enterprise architecture/technology leadership across multiple products, systems, and/or platforms
- 4-7 years experience with Enterprise applications, PLM, middle-tier services, database, storage, distributed computing, virtualization, and/or application technology
Knowledge, Skills and Abilities :
Technical Leadership - Ability to guide and influence technical teams in the development and integration of AI technologies.
Enterprise Architecture - Expertise in designing and implementing scalable and efficient enterprise-wide architectures.
Solution Architecture - Proficiency in creating technical blueprints and solutions that integrate generative AI technologies.
Strategic Thinking - Capability to develop long-term tech strategies that align with business goals and enhance competitive advantage.
Agile Methodologies - Experience in Agile project management and its application in fast-paced technology development environments. (Preferred)
Collaboration - Strong ability to work effectively across different teams including technical and non-technical stakeholders.
Problem Solving - Exceptional problem-solving skills with the ability to foresee and manage potential challenges in AI integration.
Innovation - Ability to drive innovation within the organization through the adoption and implementation of cutting-edge AI technologies.
Data Analysis - Skills in analyzing complex data to inform architecture decisions and improve system performance.
Technical Writing - Proficiency in documenting technical designs and proposals clearly and effectively.(Preferred)
Licenses and Certifications :
- Certified Data Scientist (CDS)- Certification that validates expertise in data science and its application in AI technologies. (Preferred)
- AWS Certified Machine Learning - Specialty- Certification that demonstrates the ability to design, implement, and maintain machine learning solutions for scalable AI applications on AWS. (Preferred)
- Certified Solutions Architect- Certification that indicates proficiency in designing and implementing robust and scalable software architectures, including those involving AI technologies. (Preferred)
- 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, copy and paste this link into your browser:
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
. 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
[email protected] 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.
Job Tags
Holiday work, Full time, Temporary work, Part time, Work experience placement, Local area, Flexible hours,