Senior Forward Deployment Engineer

T-Mobile

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bellevue, WAFrisco, TX
Salary
$163,645–$295,205 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $229k
$132k $313k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $149,250–$222,125 — the blue band above. At the midpoint, this role pays about $229k versus about $186k 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 72 open roles on FindRole.

Listed pay typically runs $138,996–$228,650 across 32 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Senior Forward Deployment Engineer

The Sr Forward Deployment Engineer joins the Forward Deployment Engineer team to serve as a technical practitioner embedded within a business unit. This role drives the technical agenda for net-new agentic AI delivery, requiring the design and implementation of RAG pipelines, prompt orchestration layers, and multi-agent workflows in live production environments. Key responsibilities include leading scoping sessions, mentoring co-deployed engineers, and building integration layers for enterprise data sources. The candidate must possess proficiency in Python, SQL, and at least one other language like Go, TypeScript, or Java. Technical skills include LLM system design, Docker, Kubernetes, and CI/CD on AWS, Azure, or GCP. This role solves the business problem of converting vague requirements into production-grade AI solutions while ensuring data security and measurable return on investment.

What you'll do

  • Drive the technical agenda for net-new agentic AI delivery within the assigned business domain.
  • Design and deliver agentic AI solutions including RAG pipelines and multi-agent workflows in production environments.
  • Build integration layers to connect AI solutions with enterprise data sources and tools.
  • Mentor co-deployed engineers through code reviews, solution iteration feedback, and coaching on delivery standards.
  • Lead scoping sessions with stakeholders to define requirements, map workflows, and assess data readiness.
  • Communicate delivery progress, milestones, and technical tradeoffs directly to business unit managers.
  • Document failure modes, edge cases, and performance gaps to support practice-level reporting.
  • Author domain case studies and contribute to the development of the FDE playbook.

What we're looking for

  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, or a related technical field.
  • 4-7+ years of production engineering experience with hands-on LLM deployment, including prompt engineering, RAG architecture, and agent orchestration.
  • 7-10+ years of prior experience in solutions engineering, embedded technical, or forward deployment roles (preferred).
  • Proficiency in production Python and at least one other language such as Go, TypeScript, or Java.
  • Experience with LLM system design, including hallucination mitigation, performance benchmarking, and multi-agent workflows.
  • Proficiency in complex SQL, ETL/ELT pipeline design, and building integrations with enterprise and telecom data sources.
  • Experience with cloud-native deployment using Docker, Kubernetes, CI/CD, and infrastructure on AWS, Azure, or GCP.
  • Authorized to work in the United States.

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