Job Overview
The Senior Engineer, Enterprise AI helps design, build, and scale AI-powered applications and platforms that improve productivity and intelligent decision-making across T-Mobile's enterprise environment. This role focuses on developing enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks integrated with internal systems and workflows. The engineer will work across the full software development lifecycle - from architecture and prototyping through deployment and operational support - while partnering closely with product, engineering, and platform teams. This role requires strong software engineering fundamentals combined with hands-on experience building and integrating AI-enabled applications in production environments. The ideal candidate is highly curious, adaptable, and comfortable working in a fast-moving AI ecosystem where technologies and approaches evolve rapidly.

Job Responsibilities:

• Design, develop, deploy, and support enterprise AI applications, autonomous agents, and intelligent workflow solutions that improve employee productivity and operational efficiency.

• Build and optimize Retrieval-Augmented Generation (RAG) pipelines, semantic search capabilities, and AI orchestration workflows integrated with enterprise platforms and data sources.

• Develop scalable integrations and AI-enabled services connecting systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, Atlassian, and other enterprise platforms.

• Partner with engineering, product, architecture, and business stakeholders to deliver secure, reliable, and scalable AI-driven solutions in production environments.

• Apply strong software engineering principles across system design, coding, CI/CD, observability, testing, troubleshooting, and operational support.

• Utilize modern AI development tools and coding assistants to rapidly prototype, iterate, and improve AI-enabled applications and workflows.

• Contribute to AI governance, security, reliability, and compliance standards for enterprise AI deployments.

• Evaluate emerging AI technologies, frameworks, and methodologies to continuously improve platform capabilities and engineering effectiveness.

• Participate in architectural discussions, technical reviews, and engineering best practices to help raise the overall technical maturity of the team.

• Support a highly iterative development environment where rapid experimentation, continuous learning, and fast adaptation are critical to success.

Required Experience:

• 4-7 years of experience in software engineering, AI/ML engineering, platform engineering, or enterprise application development.

• Experience building and deploying scalable software applications or platforms in enterprise environments.

• Experience developing AI-enabled applications, intelligent automation workflows, or LLM-powered solutions using modern AI frameworks and tools.

• Experience designing or integrating distributed systems, APIs, enterprise platforms, or cloud-native applications.

• Experience collaborating cross-functionally with engineering, product, architecture, and business teams to deliver production solutions.

Preferred Experience:

• Experience building Retrieval-Augmented Generation (RAG) pipelines, semantic search solutions, or vector database integrations.

• Experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar technologies.

• Experience integrating AI solutions with enterprise systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, or Atlassian platforms.

• Experience with cloud platforms, containerization, CI/CD pipelines, observability, and production operations.

• Experience working with enterprise AI governance, security, compliance, or Human-in-the-Loop (HITL) workflows.

• Familiarity with AI-assisted development tools and coding agents such as Claude Code, GitHub Copilot, Codex, or similar technologies.

Education and Work Experience:

• Bachelor's Degree Bachelor's degree plus 3 years of related work experience
  OR advanced degree with 1 year of related work experience
  OR combination of education and experience deemed equivalent (Required)
• Acceptable areas of study include Computer Science, Artificial Intelligence, or Related Field
  Master's/Advanced Degree Computer Science, Artificial Intelligence, or Data Science (Preferred)
• 4-7 years Experience in developing and optimizing AI models for customer service automation using advanced techniques such as prompt engineering and fine-tuning. (Preferred)
• 4-7 years Experience in architecting and deploying sophisticated agentic AI systems to enhance reasoning and interaction capabilities in complex workflows. (Preferred)
• 4-7 years Experience in collaborating with cross-functional teams to integrate AI-driven enhancements into production systems. (Preferred)

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

Travel:
Travel Required (Yes/No): No

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

Base Pay Range: $133,100 - $240,100

Corporate Bonus Target: 15%

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ351961¶dox=1

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!