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T-Mobile

Forward Deployment Engineer

T-Mobile

. Implement, configure, and iteratively tune net-new agentic AI solutions in the assigned business domain .

Posted 10/19/2026full-timeUnited StatesJuniorMid-Level💰 $117,800 - $212,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in implementing and tuning AI solutions, building integrations with enterprise data sources, and developing lightweight ETL pipelines. Proficient in Python programming, cloud deployment, and understanding of data privacy requirements.

Highest-signal resume keywords
Python ProficiencyCloud Deployment ExperienceETL/ELT Pipeline DevelopmentAI Systems IntegrationData Privacy Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringMachine Learning EngineeringPrompt EngineeringSQL ProficiencyProduction Python CodingSystem IntegrationData NormalizationA/B TestingData Quality DocumentationPerformance Monitoring
Soft Skills
CollaborationCommunicationProblem-SolvingAdaptabilityCustomer-Facing Experience
Tools & Technologies
AWSAzureDockerSalesforce EinsteinServiceNow AIMicrosoft CopilotCRM SystemsERP SystemsTicketing SystemsCI/CD Pipelines
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Software EngineeringBachelor's Degree in Data Science
Industry Keywords
Agentic AI SolutionsOperational FeedbackBusiness Unit IntegrationData HandlingResponsible AI

Tech Stack

Tools & technologies
AWSAzureCloudDockerERPETLPythonServiceNowSQL

About the role

Key responsibilities & impact
  • Implement, configure, and iteratively tune net-new agentic AI solutions in the assigned business domain
  • Adapt solution behavior, prompt layers, and escalation logic based on live operational feedback
  • Run controlled A/B experiments in live production cohorts
  • Document measured impact against validated ROI targets
  • Work alongside business-unit teams across care, retail, finance, supply chain, and other operational contexts
  • Observe workflows, identify AI opportunities, and conduct structured feedback sessions with managers and end users
  • Build integrations connecting AI solutions to CRM, billing, ticketing, and ERP data sources
  • Prepare and normalize business-unit-specific data for AI consumption
  • Build lightweight ETL pipelines feeding operational data into evaluation loops and monitoring dashboards
  • Identify, document, and escalate data quality gaps
  • Document system performance, failure modes, edge cases, and performance gaps
  • Contribute to TPM-defined requirements reporting and delivery prioritization
  • Participate in practice reviews, rotation planning, knowledge transfer, and peer knowledge sharing
  • Support onboarding of rotating FDEs at the IC level
  • Build and iterate on assigned components of agentic systems, individual agents, RAG pipelines, and prompt layers under architectural direction
  • Report to the Manager or Senior Manager, Forward Deployment Engineer within the assigned pod

Requirements

What you’ll need
  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, or related technical field; relevant equivalent experience accepted (Required)
  • 2–4+ years of hands-on software or ML engineering experience in production environments (Required)
  • Ability to write clean, maintainable Python code and debug and extend existing codebases
  • Experience deploying to cloud environments and building system integrations with enterprise data sources (Required)
  • 4–7+ years of customer-facing, operations, or embedded technical role experience (Preferred)
  • Exposure to Salesforce Einstein, ServiceNow AI, or Microsoft Copilot (Preferred)
  • Production Python proficiency
  • Working knowledge of prompt engineering, RAG basics, function calling, and at least one major LLM provider
  • SQL proficiency
  • Experience building CRM, ticketing, ERP, or billing integrations
  • Ability to build lightweight ETL/ELT pipelines and use basic logging
  • Comfortable deploying to AWS or Azure, using Docker, and reading CI/CD pipelines
  • Understanding of enterprise data privacy requirements, PII, customer data protection, responsible AI, and appropriate data handling
  • Ability to embed within a business unit and deliver AI systems under real operational constraints
  • Ability to translate engineering trade-offs into business impact narratives and business asks into precise engineering requirements
  • Experience moving proof-of-concepts toward production-grade delivery
  • 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
  • Annual bonus or periodic sales incentive or bonus, based on role
  • 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