Senior Enterprise AI Solutions Engineer

Insight; Chandler (AZ); Hybrid; USD 130,000 - 150,000; Full time

Job summary

Insight Enterprises, Inc. is seeking a Sr AI Customer Engineer in Chandler, AZ to join a fast-paced, highly skilled team delivering state-of-the-art enterprise AI solutions.

You will work directly with customers, engineers, sales teams and partners to implement cloud-native AI solutions on Google Cloud Platform, leveraging Gemini GEAP and related tools. The role is hybrid, requires deep expertise in AI, cloud engineering, and governance, and offers significant opportunities to influence project

Qualifications

• 4+ years of relevant work experience in technical consulting, software development or cloud engineering.
• 1+ years of relevant work experience designing and implementing Generative AI solutions, including the use of large language models, model fine‑tuning, vector embeddings, and AI application frameworks to build retrieval augmented generation (RAG) and multimodal workloads, preferably using the Gemini Enterprise Agent Platform on GCP.
• AI‑Assisted Engineering: Hands‑on experience leveraging modern AI code generation assistants and agentic IDE tooling, specifically GitHub Copilot, Claude Code, and Google Antigravity, to accelerate technical delivery, automate boilerplate development, and optimize the broader application execution loop.
• Proven experience implementing enterprise platform governance, security, and data boundaries using Agent Gateway, Agent Identity, and real‑time compliance via Agent Guard / Model Armor.
• Hands‑on experience implementing long‑term context retention and multi‑turn persistence in production environments using Google's Memory Bank architecture.
• Comfortable developing frontend web frameworks for AI prototyping, such as Streamlit, Gradio or React.
• Experience designing and implementing serverless and containerized solutions on common deployment runtimes, preferably Cloud Run, Google Kubernetes Engine, or Agent Runtime on Google Cloud Platform.
• Experience building and maintaining high‑quality, developer-friendly server‑side code, such as webhooks, cloud functions, and data pipelines.
• Experience with full stack development, including setting up cloud infrastructure, database services and application lifecycle management.
• Ability to architect, scope, and prioritize work based on feedback from the customer or internal teams.
• Experience working with analytical and transactional database systems, including SQL databases like MySQL, PostgreSQL or BigQuery.
• Experience participating in sales calls and working within a business or technical consulting environment.
• Exposure to containers and container orchestration, such as Docker.
• Experience working with interactive development environments like JupyterLab and integrated developer tools within the Google Cloud ecosystem.
• Familiarity with activating enterprise data directly where it lives using Knowledge Catalog & Smart Storage architectures to support zero‑migration grounding.
• Experience stress‑testing and optimizing agent execution paths before production deployment using Agent Simulation & Agent Observability suites.
• Exposure to model serving frameworks such as LLM and FastAPI and model training frameworks such as PyTorch and TensorFlow.
• Experience in writing automated tests, including unit, integration, and acceptance tests.
• Experience monitoring and scaling workloads based on latency or throughput demands.

Responsibilities

• Implement AI-based solutions across all project stages, from discovery and architecture, to development, testing and launch.
• Provide senior-level subject matter expertise and assistance to Insight clients and colleagues on artificial intelligence and agentic automation topics.
• Collaborate with client stakeholders managing the project, including other engineers and Director-level client resources.
• Create technical documentation and lead solution design discussions.
• Assist with technical pre‑sales discussions and the review of statements of work.

Skills

Cloud engineering

Generative AI

LLMs

Vector embeddings

RAG

GCP

Gemini GEAP

ADK

Agent Studio

Memory Bank

Frontend prototyping

Streamlit

Gradio

React

Docker

Kubernetes

Cloud Run

Serverless

Webhooks

BigQuery

Tools

Docker

Kubernetes

Google Cloud Platform (GCP)

FastAPI

PyTorch

TensorFlow

Job description

Insight Enterprises, Inc. is seeking a Sr AI Customer Engineer in Chandler, AZ to join a fast-paced, highly skilled team delivering state-of-the-art enterprise AI solutions.

You will work directly with customers, engineers, sales teams and partners to implement cloud-native AI solutions on Google Cloud Platform, leveraging Gemini GEAP and related tools. The role is hybrid, requires deep expertise in AI, cloud engineering, and governance, and offers significant opportunities to influence project