Hiring: Forward Deployment Engineer Company: T-Mobile Location: Bellevue, WA Job Posted Time: 2026-09-03 11:23:47 Employment Type: Full-time Target Skills & Keywords : Agile, ELT, ETL, Embedded Systems, LLM, Python, RAG, SQL, Salesforce, ServiceNow About the job Experience: •2-4+ years hands-on software or ML engineering experience in production environments. Demonstrated ability to write clean, maintainable Python code and to debug and extend existing codebases. Experience deploying to cloud environments and building system integrations with enterprise data sources. (Required) •4-7+ years prior experience in a customer-facing, operations, or embedded technical role (care, retail, finance, supply chain). Exposure to enterprise AI platforms such as Salesforce Einstein, ServiceNow AI, or Microsoft Copilot. (Preferred) Required Skills: •AI System Deployment & Tuning: Implement, configure, and iteratively tune net-new agentic AI solutions deployed in the assigned business domain, working against requirements defined and delivered by TPMs. Adapt solution behavior, prompt layers, and escalation logic based on live operational feedback on a weekly cycle. •A/B Experimentation & ROI Validation: Run controlled A/B experiments in live production cohorts and document measured impact on validated return on investment targets for the domain. Feed results back to the FDE team and practice leadership with structured analysis to inform delivery prioritization. •BU Partnership & Workflow Engagement: Work directly alongside BU teams in the assigned domain across care, retail, finance, supply chain, or other operational contexts. Observe real workflows, identify friction that AI solutions can address, and conduct structured feedback sessions with BU managers and end users. •Practice Reporting & Requirements Support: Contribute to reporting cycles that support the TPM-defined requirements pipeline. Document system performance, failure modes, and gaps in a structured format that supports domain planning and delivery prioritization. Participate in practice reviews to share domain learnings. •Contributes structured documentation: failure modes, edge cases, performance gaps, and develops them into practice reporting cycles. •Participates in rotation planning and knowledge transfer sessions. •Contributes to peer knowledge sharing •Supports onboarding of rotating FDEs at the IC level. Qualifications: •Python Engineering: Python proficiency in production settings: clean, maintainable code; able to read, debug, and extend existing agentic system code written by others. •LLM Integration: Working knowledge of LLM integration patterns: prompt engineering, RAG basics, function calling; experience with at least one major LLM provider. •Data Engineering & System Integrations: SQL proficiency; experience building system integrations connecting AI solutions to enterprise data sources (CRM, ticketing, ERP, billing); able to build lightweight ETL/ELT pipelines and instrument systems with basic logging. •At least 18 years of age •Legally authorized to work in the United States •DOT Regulated Position (Yes/No): No •Safety Sensitive Position (Yes/No): No •Total Target Cash Earnings Opportunity: $135,470 - $244,375 •The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results. •Bachelor's Degree Computer Science, Software Engineering, Data Science, or related technical field. Relevant equivalent experience accepted. (Required) Compensation: •$135,470 - $244,375 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!