Sr Engineer, Enterprise AI

T-Mobile; Factoria (WA); On-site; USD 133,100 - 240,100; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Tuition assistance

Job summary

T-Mobile is seeking a Senior Engineer, Enterprise AI to design and implement AI-powered applications that enhance productivity and decision-making. This role involves building AI solutions and integrating them with various enterprise platforms.

The ideal candidate will have 4–7 years of experience in software engineering and strong skills in developing AI-enabled applications. The position offers competitive pay and comprehensive benefits.

Qualifications

• 4–7 years of experience in software engineering, AI/ML engineering, or platform engineering.
• Experience building scalable software applications or platforms in enterprise environments.
• Experience developing AI-enabled applications with modern AI frameworks.

Responsibilities

• Design and support enterprise AI applications to improve productivity.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Develop scalable integrations connecting systems like GitLab and Atlassian.

Skills

Software engineering

AI/ML engineering

Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Salesforce

ServiceNow

Databricks

Job description

Senior Engineer, Enterprise AI

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. The 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 plus 3 years of related work experience, OR advanced degree with 1 year of related work experience, OR combination deemed equivalent (Required).
• Preferable areas of study include Computer Science, Artificial Intelligence, or related field. Master’s or advanced degree in Computer Science, Artificial Intelligence, or Data Science is 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: No

DOT Regulated

• DOT Regulated Position: No
• Safety Sensitive Position: No

Base Pay Range

Base pay range: $133,100 – $240,100. Corporate bonus target: 15%. The actual starting pay will vary within this range based on location, qualifications, and experience.

Benefits

• Medical, dental, and vision insurance
• Flexible Spending Account
• 401(k)
• Employee stock grants
• Employee stock purchase plan
• Paid time off and up to 12 paid holidays (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
• Voluntary long‑term care insurance
• Mobile service and home internet discounts
• Pet insurance
• Access to commuter and transit programs

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.