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T-Mobile

Principal Engineer, Commercial AI Forward Deployment

T-Mobile

. Own end-to-end delivery of net-new agentic AI solutions within an assigned business domain from scoping through production optimization .

Posted 10/14/2026full-timeUnited StatesLead💰 $164,500 - $296,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in delivering agentic AI solutions, including LLM systems, with a strong focus on production engineering, data governance, and integration with enterprise systems. Proven ability to lead cross-functional teams and translate business requirements into technical solutions while ensuring compliance with data privacy standards.

Highest-signal resume keywords
Production Engineering ExperienceLLM-Based Agentic Systems DeliveryPython ProgrammingData Governance KnowledgeSystem Integration Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production EngineeringLLM Systems DesignPython ProgrammingSQL ProficiencyETL/ELT Pipeline DesignDockerKubernetesCI/CDAWSAzure
Soft Skills
Stakeholder ManagementMentoringCollaborationCommunication
Tools & Technologies
MLOpsVector DatabasesCRM IntegrationBilling Systems IntegrationInventory Systems Integration
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree Preferred
Industry Keywords
Agentic AI SolutionsData PrivacyCPNIPIIResponsible AI

Tech Stack

Tools & technologies
AWSAzureDockerETLGoogle Cloud PlatformJavaKubernetesPythonSQLTypeScriptGo

About the role

Key responsibilities & impact
  • Own end-to-end delivery of net-new agentic AI solutions within an assigned business domain from scoping through production optimization
  • Partner with TPMs and business-unit stakeholders to define requirements, map workflows, and assess data and integration readiness
  • Build trust with business operations leaders, managers, and end users
  • Present domain ROI outcomes and delivery roadmaps to business-unit leadership quarterly
  • Design and deliver production agentic AI solutions
  • Architect and implement system integrations, RAG pipelines, prompt orchestration, and multi-agent workflows
  • Run controlled A/B experiments in production cohorts to measure validated ROI impact
  • Instrument deployed systems with real-time logging and feedback collection
  • Build integration layers connecting AI solutions to CRM, billing, inventory, and contract repositories
  • Normalize business-unit datasets and address data-quality gaps
  • Provide structured engineering handoffs and domain insights to the practice
  • Mentor and technically guide forward-deployed engineers
  • Contribute to engagement methodology, diagnostic frameworks, responsible AI review processes, and data security guidelines
  • File bi-weekly reports on failure modes, edge cases, and performance gaps
  • Participate in rotation planning and knowledge transfer
  • Ensure solutions meet T-Mobile data governance and security standards, including CPNI and PII requirements
  • Represent validated ROI outcomes in cross-functional senior leadership forums

Requirements

What you’ll need
  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, or related technical field
  • Relevant equivalent experience accepted
  • 7–10 years of production engineering experience
  • 3+ years delivering LLM-based agentic systems
  • Track record of delivering AI solutions that measurably improved a business outcome metric in production
  • Ability to work within TPM-driven requirements processes and translate business needs into technical delivery
  • 7+ years of production Python experience
  • Proficiency in at least one of Go, TypeScript, or Java
  • Hands-on expertise designing and deploying production LLM systems
  • Proficiency in complex SQL, ETL/ELT pipeline design, and enterprise system integrations
  • Experience with Docker, Kubernetes, CI/CD, AWS, Azure or GCP, vector databases, and MLOps
  • Ability to lead technical delivery without formal authority
  • Knowledge of responsible AI, data governance, data privacy, CPNI, and PII requirements
  • At least 18 years of age
  • Legally authorized to work in the United States
  • Travel required
  • Master's Degree preferred
  • Prior solutions engineering, forward deployment, or embedded technical role experience preferred
  • Experience in complex stakeholder environments preferred
  • Enterprise technology adoption or change management background preferred

Benefits

Comp & perks
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • 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 and home internet discounts
  • Pet insurance
  • Commuter and transit programs
  • Career growth opportunities