Senior Principal Services Architect, AI & Agentic Solutions (Google Cloud)
Ingram Micro1 day ago
Base Salary
$159k - $270k/yr
Responsibilities
- Own intake, prioritization, engagement criteria, and completion standards for the AI Center of Excellence.
- Lead customer-zero and lighthouse engagements, including customer embedding, handoff, and enablement milestones.
- Lead solution architecture and technical decisions, including novel architectures validated in customer environments.
- Define reusable templates, components, tooling, build patterns, reference architectures, governance standards, playbooks, agents, workflows, and accelerators.
- Build and deploy production AI agents, applications, integrations, retrieval systems, tool use, memory, and multi-step workflows on Google Cloud.
- Establish security, data-boundary, performance, quality-gate, and technical-review standards for AI solutions.
- Repeatedly deploy solutions across customers using standard pipelines and publish or govern agents across Google Workspace, Gemini for Google Workspace, Google Chat, and Vertex AI Agent Builder.
- Develop reusable AI offerings and package mature agents into marketplace-ready offers on Google Cloud Marketplace.
- Create certification and enablement content and co-deliver solutions with system integrator partners.
- Track emerging cloud and model ecosystem capabilities, guide technical direction, mentor engineers, and co-own the AI services roadmap.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- 10+ years of experience in software engineering, cloud architecture, solutions architecture, or technical consulting.
- 5+ years of experience designing and delivering enterprise cloud, AI, machine learning, or data platform solutions.
- Experience engaging directly with enterprise customers and executive stakeholders.
- Experience leading technical architecture decisions for large-scale implementations.
- Expertise in Google Cloud Platform, Vertex AI, Gemini, generative AI, large language models, agentic AI architectures, RAG, AI orchestration, API integrations, tool calling, Model Context Protocol, cloud security, governance, infrastructure as code, enterprise software architecture, and CI/CD.
- Preferred: Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer certification.
- Preferred: experience with enterprise AI governance, Responsible AI, multi-agent systems, AI copilots, multi-customer deployments, AWS or Microsoft Azure AI platforms, observability, monitoring, evaluation frameworks, and reusable technical frameworks or service offerings.
Benefits
- Healthcare benefits, paid time off, parental leave, 401(k) plan with company match, short- and long-term disability coverage, basic life insurance, and wellbeing benefits are available to U.S.-based employees.
- Some roles may receive merit increases, annual bonuses or sales incentives, and long-term incentives.
- Applicants must pass a drug test and a post-offer pre-employment background check.
Tech Stack
Categories
Solutions Engineering
About Ingram Micro
Ingram Micro supplies the IT channel with technology distribution, cloud marketplace services, and supply‑chain and lifecycle solutions. It connects hardware and software manufacturers and cloud providers with resellers, MSPs, and other B2B technology partners through its Xvantage platform, financing, and logistics offerings. Founded in 1979 and headquartered in Irvine, California, the company operates globally and is owned by Platinum Equity.