Senior Forward Deployment Engineer

T-Mobile

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Quick summary

Work type
On-site
Location
Bellevue, WAFrisco, TX
Employment
Full-time
Posted
94 days ago
Freshness
Confirmed live today

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Similar $186k
$139k $237k
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This listing doesn't post a salary. Most similar roles pay $148,500–$222,500.

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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.

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At a glance

TL;DR · Senior Forward Deployment Engineer

JOB TITLE: Sr Forward Deployment Engineer The Sr Forward Deployment Engineer joins the Forward Deployment team to serve as a technical practitioner embedded within a business unit. This role drives the technical agenda for net-new agentic AI delivery, where the individual designs and delivers production-grade solutions including RAG pipelines, prompt orchestration layers, and multi-agent workflows. Key responsibilities include leading scoping sessions, mentoring co-deployed engineers, and managing system integrations with enterprise data sources. The position requires proficiency in Python, SQL, and at least one other language like Go, TypeScript, or Java. Candidates must possess expertise in LLM system design, Docker, Kubernetes, and AWS cloud-native deployment. The role solves the business problem of transitioning AI prototypes into production environments while ensuring data security, responsible AI principles, and measurable return on investment outcomes.

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.
  • Build integration layers to connect AI solutions to enterprise data sources and normalize datasets.
  • Mentor co-deployed engineers through code reviews, solution iteration feedback, and delivery coaching.
  • Lead scoping sessions with stakeholders to define requirements and map workflows.
  • Own the end-to-end solution architecture and make independent design decisions across the agentic stack.
  • Communicate delivery progress and milestone accountability directly to business unit managers.
  • Document failure modes and performance gaps to contribute to practice-level insights and playbooks.

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.
  • Proficiency in production Python and at least one other language such as Go, TypeScript, or Java.
  • Experience 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.
  • Proven ability to lead technical delivery, mentor engineers, and communicate with business stakeholders in ambiguous environments.
  • Knowledge of data privacy, security, and responsible AI principles to build guardrails and compliance into agentic solutions.
  • Authorized to work in the United States.

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