Senior Engineer, Enterprise AI

T-Mobile

Senior Engineer at T-Mobile helping design and build AI-powered applications and platforms. Working across full software development lifecycle in a fast-moving AI ecosystem.

Posted 5/20/2026full-timeBellevue • Texas, Washington • 🇺🇸 United StatesSenior💰 $133,100 - $240,100 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsServiceNow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
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 & home internet discounts
pet insurance
access to commuter and transit programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI applicationsautonomous agentsintelligent workflow solutionsRetrieval-Augmented Generation (RAG)semantic searchAI orchestration workflowsscalable integrationsAI-enabled servicessoftware engineering principlesCI/CD

Soft Skills

collaborationcommunicationproblem-solvingadaptabilitycontinuous learningcross-functional teamworktechnical maturityiterative developmentstakeholder engagementoperational support