Forward Deployment Engineer

T-Mobile

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Bellevue, WAFrisco, TX
Salary
$135,470–$244,375 / yr
Posted
13 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k
This role $190k
$122k most similar roles pay here $257k

This role pays more than 57% of similar roles. Most pay $146,500–$222,000 — the shaded band above. At the midpoint, this role pays about $190k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About T-Mobile

T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications

T-Mobile currently has 21 open roles on FindRole.

Listed pay typically runs $127,800–$214,360 across 21 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Forward Deployment Engineer

Forward Deployment Engineer The Forward Deployment Engineer serves as a hands-on technical practitioner embedded within a business unit to design, build, and iterate on net-new agentic AI solutions. Working alongside senior engineers and stakeholders, the individual is responsible for the execution layer, which includes building system integrations, tuning prompt layers, running A/B experiments in production cohorts, and developing RAG pipelines. The role requires proficiency in Python for writing maintainable code, SQL for data management, and experience with LLM integration patterns such as function calling and prompt engineering. Key responsibilities involve creating lightweight ETL pipelines to connect AI solutions to enterprise data sources like CRM, billing, and ERP systems. This position addresses the challenge of integrating intelligent automation into operational workflows across domains such as customer care, retail, finance, and supply chain to achieve validated business outcomes.

What you'll do

  • Build, integrate, and iteratively tune agentic AI solutions including RAG pipelines and prompt layers.
  • Execute controlled A/B experiments in production environments to validate return on investment targets.
  • Develop system integrations connecting AI solutions to enterprise data sources like CRM, billing, and ERP platforms.
  • Create and maintain lightweight ETL pipelines to normalize business-unit data for AI consumption.
  • Identify operational friction points by observing real workflows within assigned business units.
  • Document system performance, failure modes, and edge cases to support project planning and reporting.
  • Write and debug clean, maintainable Python code in production environments.
  • Provide technical knowledge sharing and support the onboarding of rotating team members.

What we're looking for

  • Must have a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
  • Must have 2-4+ years of hands-on software or ML engineering experience in production environments.
  • Must be able to write, debug, and extend clean Python code in production settings.
  • Must possess working knowledge of LLM integration patterns including prompt engineering, RAG basics, and function calling.
  • Must have SQL proficiency and experience building system integrations with enterprise data sources like CRM or ERP systems.
  • Must be able to build lightweight ETL/ELT pipelines and instrument systems with basic logging.
  • Preferred: 4-7+ years of experience in customer-facing or embedded technical roles.
  • Authorized to work in the United States.

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