Forward Deployment Engineer

About the role

The Engineer, Forward Deployment is a hands-on technical practitioner who embeds within a T-Mobile business unit to design, build, and iterate on net-new agentic AI solutions. These solutions are developed against requirements defined and scoped by TPMs and business unit stakeholders.

Responsibilities

• 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.
• Data Engineering & System Integrations: Build system integrations connecting AI solutions to BU data sources such as CRM, billing, ticketing, and ERP platforms. Prepare and normalize business-unit-specific data for AI system consumption. Build lightweight ETL pipelines feeding operational data into evaluation loops and monitoring dashboards. Identify and escalate data quality gaps with specific documentation.
• 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.
• Supports onboarding of rotating FDEs at the IC level. Implements integrations and data normalization pipelines for assigned BU data sources. Flags data quality issues and raises to Sr. FDE or TPM.
• Delivers A/B experiments and documents results.

Requirements

• Bachelor's Degree in Computer Science, Software Engineering, Data Science, or related technical field. Relevant equivalent experience accepted.
• 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.
• 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.

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.
• Cloud & DevOps Literacy: Comfortable deploying to AWS or Azure, using Docker, and reading CI/CD pipelines.
• Operational Bias to Action: Ships iterative improvements in days, not weeks; able to communicate technical trade-offs clearly to non-technical partners.
• Data Security & Responsible AI: Solid understanding of data privacy requirements in enterprise environments including PII and customer data protection. Applies responsible AI principles and appropriate data handling practices when building system integrations and AI solutions.
• Forward Deployment Mentality: Demonstrated ability to embed within a business unit, earn stakeholder trust rapidly, and deliver working AI systems under real operational constraints, not in sandbox or lab environments.
• Stakeholder Translation: Ability to move fluidly between technical implementation and business communication, converting engineering tradeoffs into plain-language impact narratives for BU managers, and converting vague business asks into precise engineering requirements.
• Rapid Prototyping & Production Readiness: Experience compressing the gap between proof-of-concept and production-grade delivery.

Skills

• Python Engineering
• LLM Integration
• Data Engineering & System Integrations
• Cloud & DevOps Literacy
• Operational Bias to Action
• Data Security & Responsible AI
• Forward Deployment Mentality
• Stakeholder Translation
• Rapid Prototyping & Production Readiness

Benefits

• Medical, Dental, Vision Insurance
• Flexible Spending Account
• 401(k)
• Employee Stock Grants
• Employee Stock Purchase Plan
• Paid Time Off
• Up to 12 Paid Holidays
• 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

Pay

$117,800 - $212,500

Schedule

Full-Time

Base Pay Range

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ366286