Senior Forward Deployment Engineer

T-Mobile

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

Posted 10/19/2026full-timeUnited StatesSenior💰 $142,300 - $256,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in agentic AI solution delivery, including hands-on experience with LLM deployment, system integrations, and data quality management. Proven ability to lead technical initiatives, mentor engineers, and communicate effectively with business stakeholders.

Highest-signal resume keywords

Agentic AI DeliveryProduction PythonPrompt EngineeringSystem IntegrationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM DeploymentComplex SQLETL/ELT Pipeline DesignRAG ArchitectureAgent Orchestration

Soft Skills

MentoringCommunicationProblem-Solving

Tools & Technologies

DockerKubernetesCI/CDAWSAzureGCP

Certifications & Qualifications

Bachelor's Degree in Computer ScienceSoftware EngineeringData Science

Industry Keywords

Data PrivacySecurityResponsible AIComplianceBusiness Communication

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 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 and remediate data-quality gaps
Provide structured engineering handoffs and domain-specific insights to the practice
Mentor and technically guide co-deployed Engineers
Provide code reviews, solution feedback, and coaching on delivery standards
Support onboarding of new FDEs and contribute to practice methodology
Contribute to practice reporting, delivery planning, rotation planning, and knowledge transfer
Document failure modes, edge cases, and performance gaps
Own end-to-end solution architecture and delivery
Make independent design decisions across the agentic stack
Define reusable domain patterns and integration architecture
Own domain-level reporting narratives and synthesize Engineer inputs
Author domain case studies and contribute to FDE playbook development

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
Prompt engineering, RAG architecture, and agent orchestration experience
Ability to deliver measurable AI outcomes and operate autonomously in ambiguous environments
Experience building system integrations with enterprise data sources
Strong production Python and proficiency in Go, TypeScript, or Java
Complex SQL and ETL/ELT pipeline design
Docker, Kubernetes, CI/CD, and infrastructure experience on AWS, Azure, or GCP
Experience with real-time logging and feedback collection
Technical leadership and engineer mentoring experience
Data privacy, security, responsible AI, guardrails, and compliance knowledge
Experience embedding within business units and delivering AI systems under operational constraints
Experience translating between technical implementation and business communication
Experience moving prototypes to production-grade delivery
At least 18 years of age
Legally authorized to work in the United States
Preferred: 7–10+ years in solutions engineering, embedded technical, or forward deployment roles
Preferred: track record of AI solutions improving business outcome metrics
Preferred: stakeholder experience from business-unit operators to middle management

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