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This listing doesn't post a salary. Most similar roles pay
$150,000–$235,400.
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.
The Sr Engineer, Enterprise AI joins the team to design, build, and scale AI-powered applications and platforms that improve productivity and intelligent decision-making across the enterprise environment. This role involves developing enterprise-grade solutions using Large Language Models, Retrieval-Augmented Generation, and agentic AI frameworks integrated with internal workflows. You will build and optimize RAG pipelines, semantic search capabilities, and AI orchestration workflows while developing scalable integrations for platforms like Salesforce, ServiceNow, Snowflake, Databricks, GitLab, and Atlassian. Key responsibilities include full software development lifecycle tasks such as architecture, prototyping, deployment, and operational support. You will utilize modern tools including LangGraph, LangChain, CrewAI, and GitHub Copilot to solve complex business problems while ensuring AI governance, security, reliability, and compliance standards are met in production environments.
What does a Engineer earn in Washington?
Median $179250 from 43 postings across 13 companies.
Design, develop, and deploy enterprise AI applications, autonomous agents, and intelligent workflow solutions.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines and semantic search capabilities.
Develop scalable integrations connecting AI services to platforms like Salesforce, Snowflake, and Databricks.
Apply software engineering principles to system design, CI/CD, observability, testing, and troubleshooting.
Contribute to AI governance, security, reliability, and compliance standards for enterprise deployments.
Evaluate emerging AI technologies and frameworks to improve platform capabilities and engineering effectiveness.
Participate in architectural discussions and technical reviews to raise the team's technical maturity.
What we're looking for
Must be at least 18 years of age and legally authorized to work in the United States.
Must have a Bachelor's degree plus 3 years of experience, an advanced degree plus 1 year of experience, or an equivalent combination.
Must have 4–7 years of experience in software engineering, AI/ML engineering, platform engineering, or enterprise application development.
Must have experience building and deploying scalable software applications or platforms in enterprise environments.
Must have experience developing AI-enabled applications, intelligent automation workflows, or LLM-powered solutions using modern AI frameworks.
Must have experience designing or integrating distributed systems, APIs, enterprise platforms, or cloud-native applications.
Must have experience collaborating cross-functionally with engineering, product, architecture, and business teams to deliver production solutions.
Preferred: Experience with RAG pipelines, agentic AI frameworks (e.g., LangChain, CrewAI), and integrating AI with enterprise systems like Salesforce or Snowflake.
Python
Prompt Engineering
Retrieval Augmented Generation **(RAG
LangChain
Vector Databases
LLM Orchestration
Model Tuning
Cloud Computing
Data Analysis
Agentic AI
Deep Learning
Data Modeling
Machine Learning
Deep Learning
Python
MATLAB
PyTorch
Tensor flow
Keras
scikit-learn
C
C++
Digital Signal Processing
Numerical Modeling
Optimization
Neural Networks
CNN
RNN
Embedded Systems
Statistical Signal Processing
Algorithm Development