Accelerate your career. Join the organization that's driving the world's technology and shape the future.
Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com
Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!
Ingram Micro is the largest IT distributor in the world and one of the largest Google Cloud distribution partners globally. This role designs, builds, tests, and deploys AI-powered business solutions that are adopted at scale across global markets. The role defines the reference architectures, engineering standards, and reusable components that govern how Ingram Micro builds AI solutions, and builds the first production agents, AI applications, and integrations on them using Gemini Enterprise, Gemini App Studio, Vertex AI Agent Builder, Vertex AI Search & Conversation, Vertex AI Model Garden, and related Google Cloud services.
The role partners with business, technical, and regional leaders to set use-case priorities and turn them into secure, production-ready solutions that are deployed and reused across many customers and countries. The Senior Principal Services Architect ships real production software rather than proofs of concept, works end to end from discovery through deployment and handoff, and accelerates delivery through reusable assets and proven engineering practices. The role translates the AI services strategy into operational plans and is accountable for the technical direction of the offer portfolio across regions.
The ideal candidate is a hands-on architect who has shipped production AI solutions on the Google Cloud stack, sets standards other engineers adopt, and works credibly with customers, partners, and Google Cloud technical teams.
YOUR ROLE
Run the Center of Excellence engagement model: own intake, prioritization, and engagement criteria for the team and the regional and partner teams that adopt it, including which scenarios the team takes on, which it declines, and what a completed engagement must produce
Lead customer-zero and lighthouse engagements, embedded with customers for a matter of weeks, with defined handoff and enablement milestones
Lead solution architecture and key technical decisions across the practice, and design novel architectures for problems with no established pattern, validating them in real customer environments
Define the templates, components, tooling, and build patterns the team and partners use, and engineer production agents with customers on them so every solution is built the same way
Build production agents on the Google Cloud frontier stack and select appropriate models from the Vertex AI Model Garden for each workload
Implement grounding and retrieval with Vertex AI Search & Conversation, integrate tools through Vertex AI Extensions, Model Context Protocol, and connectors, and build memory, tool use, and multi-step workflows
Author the security, data-boundary, and performance standards every solution must meet; run quality gates and technical review across engagements, handle escalations, harden agents for production, and refine patterns based on field results
Deploy the same solution repeatedly across customers through standard pipelines, and publish and govern agents in Google Workspace, Gemini for Google Workspace, Google Chat, and Vertex AI Agent Builder with managed service accounts and identity federation
Own the library of reusable technical assets: reference architectures, design standards, best-practice patterns, governance standards, playbooks, agents,…