AI Architect, Partner Engineering

Job description

As an AI Architect leading the Agent Factory, you are the technical and strategic "tip of the spear" for Google Cloud’s AI ecosystem. Your mission is to operationalize and run high-velocity, immersive Agent Factory workshops that establish Gemini Enterprise as the undisputed platform of choice for our global partner network of 500+ strategic ISVs.

This is a highly hybrid, high-execution role requiring the deep implementation of a Senior Software Engineer, the agile facilitation skills of a technical sprint lead, and the commercial acumen of a Business Strategist. You will not just draw high-level system diagrams on a whiteboard; you will code alongside partners—guiding high-growth disruptors through a compressed, high-intensity lifecycle that moves them from an abstract concept to a functional, production-ready Multi-Agent System in a single day.

Beyond technical delivery, you will define what a "consumer-grade" enterprise AI experience looks like, translating deeply technical capabilities into quantifiable business value during rapid-prototyping cycles. Your work within these workshops will directly accelerate partner deployment velocity, shape the internal Google AI product roadmap, and drive ecosystem growth by proving the multi-product ROI of the Google Data and AI Cloud.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Execute Agent Factory Workshops: Own, facilitate, and scale the technical delivery of high-intensity Agent Factory workshops, successfully guiding strategic ISV partners (e.g., Salesforce, Adobe) from a blank slate to a functional, production-grade Multi-Agent System (MAS) in a single day.
• Driect Co-Building: Take intiative and write code alongside partner engineering teams during live sprints to implement advanced reasoning architectures, model steering, and autonomous workflows using Gemini Enterprise.
• Real-Time Engineering Unblocking: Resolve critical, time-sensitive hurdles in Identity Orchestration (OAuth/OIDC), Data Gravity (BigQuery Zero-Copy/AlloyDB AI), and enterprise security hardening (VPC-SC) on the fly to ensure live workshop prototypes achieve production-grade status.
• Executive Technical Advisory: Advise partner CTOs and CPOs mid- and post-workshop on the long-term scalability of their agentic architectures and the quantifiable business ROI of transitioning to automated workflows.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 10 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience in either system design or reading code (e.g., Java, C++, Python).

Preferred qualifications:

• Security and Identity Mastery: Direct experience resolving complex integration hurdles in Identity Orchestration (OAuth 2.0, OIDC, SAML) and cross-tenant security hardening (VPC-SC, IAM) within multi-tenant SaaS environments.
• Agentic and LLM System Familiarity: Experience implementing LLM patterns, including Multi-Agent Systems (MAS), reasoning frameworks (e.g., Chain-of-Thought, ReAct), prompt engineering, or advanced model steering.
• Direct Engineering and GenAI Execution: Software engineer experienced in delivering production-grade code and rapid prototypes on tight timelines.
• Data Cloud Proficiency: Deep architectural knowledge of production-grade RAG, Vector Databases (ScaNN/HNSW), and high-scale data interoperability (BigQuery Zero-Copy, AlloyDB AI) to stand up robust enterprise agents rapidly.