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T-Mobile

Senior Engineer, Commercial AI Forward Deployment

T-Mobile

. Drive the technical agenda for net-new agentic AI delivery within the assigned business domain .

Posted 10/14/2026full-timeUnited StatesSenior💰 $142,300 - $256,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in delivering agentic AI solutions, including prompt engineering and system integrations, while effectively mentoring engineers and driving measurable business outcomes. Proficient in production engineering with a strong foundation in Python and experience with cloud platforms and data privacy standards.

Highest-signal resume keywords
Agentic AI DeliveryPrompt EngineeringProduction PythonSystem IntegrationSolutions Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production EngineeringLLM DeploymentComplex SQLETL/ELT Pipeline DesignRAG ArchitectureMulti-Agent WorkflowsData NormalizationA/B ExperimentationCode ReviewTechnical Mentoring
Soft Skills
Autonomous OperationCommunicationCollaborationCoachingProblem-Solving
Tools & Technologies
DockerKubernetesCI/CDAWSAzureGCPReal-Time LoggingFeedback Collection
Industry Keywords
Data PrivacySecurityResponsible AIData Classification StandardsCompliance

Tech Stack

Tools & technologies
AWSAzureDockerETLGoogle Cloud PlatformJavaKubernetesPythonSQLTypeScriptGo

About the role

Key responsibilities & impact
  • Drive the technical agenda for net-new agentic AI delivery within the assigned business domain
  • Lead scoping and diagnostic sessions with business-unit stakeholders and TPMs
  • Define requirements, map workflows, and assess data and integration readiness
  • Maintain working relationships with business-unit managers and communicate delivery progress and milestones
  • Design and deliver agentic AI solutions in live production environments
  • Implement system integrations, RAG pipelines, prompt orchestration layers, and multi-agent workflows
  • Run controlled A/B experiments and document measured ROI impact
  • Build integration layers connecting AI solutions to business-unit tools and data sources
  • Normalize datasets for AI system consumption and address data quality gaps
  • Feed domain-specific insights back through structured engineering handoffs
  • Mentor and technically guide engineers co-deployed in the same domain
  • Provide code reviews, solution iteration feedback, and coaching on delivery standards
  • Support onboarding of new Forward Deployment Engineers
  • Contribute to Forward Deployment Engineer practice methodology and reporting cycles
  • Document failure modes, edge cases, and performance gaps
  • Participate in rotation planning and knowledge-transfer sessions

Requirements

What you’ll need
  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, or related technical field; relevant equivalent experience accepted
  • 4–7 years of production engineering experience with hands-on LLM deployment
  • Experience with prompt engineering, RAG architecture, and agent orchestration
  • Ability to operate autonomously in ambiguous environments and deliver measurable AI outcomes
  • Experience building system integrations with enterprise data sources
  • 7–10 years of prior experience in solutions engineering, embedded technical, or forward deployment roles preferred
  • Track record of delivering AI solutions that measurably improved a business outcome metric preferred
  • Strong production Python and proficiency in Go, TypeScript, or Java
  • Experience with complex SQL and ETL/ELT pipeline design
  • Experience with Docker, Kubernetes, CI/CD, AWS, Azure, or GCP
  • Experience with real-time logging and feedback collection
  • Ability to lead technical delivery and mentor engineers
  • Knowledge of data privacy, security, responsible AI, data classification standards, and compliance
  • At least 18 years of age
  • Legally authorized to work in the United States
  • Willingness to travel

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
  • Hybrid work environment