Sr Software Engineer, Agentic AI

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Job Overview

This role is responsible for designing, developing, and deploying scalable software and Agentic AI solutions that support intelligent customer engagement across mobile, web, and support platforms. The engineer will build AI-enabled applications, APIs, distributed services, and orchestration layers integrating LLMs, conversational AI, and enterprise systems into customer-facing and operational workflows.

The role involves collaborating with engineering and platform teams to develop cloud-native microservices, distributed systems, and AI-driven workflows using modern technologies such as Kubernetes, virtualization, big data platforms, and AI orchestration frameworks. The engineer will contribute to systems supporting conversational and agentic AI capabilities across voice and text channels.

This position requires strong technical judgment to resolve complex issues, contribute to software design decisions, and support highly available, scalable, and secure AI-enabled systems operating at scale. Success is measured by delivering reliable, extensible software solutions that improve operational efficiency and customer experience through intelligent AI-driven capabilities.

Job Responsibilities:

• Design, develop, test, and deploy scalable software and Agentic AI solutions to support enterprise automation, intelligent workflows, and customer engagement platforms
• Build and enhance AI-enabled applications, backend services, APIs, and integration components using modern software engineering and cloud-native best practices
• Develop and implement multi-step AI workflows, orchestration logic, and agent-based systems leveraging LLMs, RAG architectures, and AI automation frameworks
• Contribute to the design of microservices and distributed systems supporting real-time voice and text-based customer interactions at scale
• Collaborate with cross-functional engineering, AI, platform, and product teams to deliver secure, reliable, and high-performing AI-driven solutions
• Evaluate emerging AI technologies, frameworks, and engineering practices to support innovation and align with business and technology strategy
• Implement AI reliability, monitoring, observability, security, and governance best practices, including guardrails and human-in-the-loop workflows
• Create and maintain technical documentation for software solutions, AI workflows, APIs, systemarchitecture, and operational processes
• Mentor team members through technical guidance, code reviews, knowledge sharing, and adoption of AI engineering best practices
• Support continuous improvement initiatives, operational excellence, and other engineering projects as assigned by business leadership

Education and Work Experience:

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field (Required)
• 4-7 yearsTechnicalengineering experience. (Required)

Knowledge, Skills and Abilities:

• Strong communication, collaboration, and customer-focused problem-solving skills
• Stronganalytical, troubleshooting, and technical documentation abilities
• Experience developing scalable software applications and AI-enabled services using Python, Java, or C++
• Experience with cloud-native distributed systems, APIs, microservices, and real-time integration platforms
• Familiarity with LLMs, conversational AI, agentic AI workflows, and AI orchestration frameworks
• Experience building AI-driven automation, RAG solutions, and enterprise AI integrations
• Understanding of scalability, reliability, observability, and secure software engineering best practices for production AI systems

Preferred Qualifications:

• Experience designing and deploying cloud-native AI solutions using Docker, Kubernetes, and scalable microservices architectures
• Experience building and integrating AI-enabled applications, conversational AI platforms, agentic AI workflows, and enterprise automation systems
• Strong familiarity with Large Language Models (LLMs), prompt engineering, tool orchestration, and AI-assisted development workflows
• Experience supporting highly available, scalable, and production-grade distributed systems and AI platforms
• Experience developing or supporting voice and text-based customer engagement and conversational AI solutions
• Familiarity with AI orchestration frameworks, RAGarchitectures, and real-time AI integration patterns for enterprise applications

• At least 18 years of age
• Legally authorized to work in the United States
• 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: $113,600 - $205,000

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, 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

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EOE StatementWe Take Equal Opportunity Seriously - By ChoiceT-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital 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 or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law.