Senior Agentic AI Deployment Engineer

T-Mobile

Bellevue (WA)

On-site

USD 142,300 - 256,700

Full time

14 days+

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Benefits offered by this job

401(k)
Employee stock grants
Stock purchase plan
Paid time off
Holidays

Job summary

T-Mobile is seeking a Senior Engineer, Forward Deployment to lead the technical agenda for net-new agentic AI delivery within a business domain. You will drive scoping, design, and production implementation while mentoring engineers and ensuring outcomes.

Role emphasizes autonomous delivery, data integration, and responsible AI within a dynamic team. Travel and leadership expectations are aligned with enterprise forward deployment practices.

Qualifications

  • Bachelor's degree or equivalent in a technical field.
  • 4+ years delivering production engineering with LLM deployment experience.
  • Experience delivering AI solutions that improve business outcomes.

Responsibilities

  • Lead technical domain agenda for net-new agentic AI delivery.
  • Design and deliver AI solutions in live production environments.
  • Build integration layers to BU tools and data sources.
  • Mentor Engineers co-deployed within the domain.
  • Contribute to practice reporting and knowledge transfer.
  • Own scoping sessions and domain delivery end-to-end.

Skills

Python
LLM design
Data integration
Cloud deployment
Technical leadership
Responsible AI
Forward deployment
Stakeholder communication
Production readiness

Education

Bachelor's Degree in CS/Engineering/Data Science
4-7+ years production engineering with LLM deployment
7-10+ years solutions engineering/forward deployment

Tools

Docker
Kubernetes
CI/CD
AWS

Job description

T-Mobile is seeking a Senior Engineer, Forward Deployment to lead the technical agenda for net-new agentic AI delivery within a business domain. You will drive scoping, design, and production implementation while mentoring engineers and ensuring outcomes.

Role emphasizes autonomous delivery, data integration, and responsible AI within a dynamic team. Travel and leadership expectations are aligned with enterprise forward deployment practices.

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