Senior AI Deployment Engineer - Enterprise Production Systems

Experis Technology Group; Bellevue (WA); Hybrid; USD 54,000 - 90,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

401(k) Plus Match

Weekly Pay

Job summary

ManpowerGroup's Experis division seeks a Deployment Engineer to embed with internal teams and customers, understanding workflows and goals to design and deploy robust AI-driven solutions in Bellevue, WA and other US locations. This hybrid role covers production-quality agentic AI systems, data integrations, and enterprise-ready pipelines.

You will own deployments end-to-end, monitor performance, and drive adoption, with opportunities to mentor junior engineers as the team scales.

Qualifications

• 8+ years building and shipping software in production with end-to-end ownership.
• Proficiency in Python; strong knowledge of at least one other language (JavaScript/TypeScript, Java, or Go).
• Hands-on AI/GenAI engineering deploying LLM-based systems, including prompt engineering, RAG architecture, and agent orchestration.

Responsibilities

• Embed with internal teams and customers to understand workflows and goals, then design and deploy solutions that fit operational needs.
• Build and deploy production-quality agentic AI systems with data integrations and custom software.
• Design and implement RAG pipelines, prompt orchestration layers, and multi-agent workflows for enterprise environments.

Skills

Python

JavaScript/TypeScript

Java

Go

LangChain

LlamaIndex

SQL

ETL/ELT

AWS

GCP

Azure

Docker

CI/CD

Tools

Snowflake

Databricks

Job description

ManpowerGroup's Experis division seeks a Deployment Engineer to embed with internal teams and customers, understanding workflows and goals to design and deploy robust AI-driven solutions in Bellevue, WA and other US locations. This hybrid role covers production-quality agentic AI systems, data integrations, and enterprise-ready pipelines.

You will own deployments end-to-end, monitor performance, and drive adoption, with opportunities to mentor junior engineers as the team scales.