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# AI Architect, Partner Engineering

- **Company:** Google
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, BigQuery, C++ (Programming Language), Software as a Service, Identity and Access Management, Interoperability, Python (Programming Language), OAuth, OpenID, Rapid Prototyping Process, Salesforce.Com, Security Assertion Markup Language (SAML), Systems Integration, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Adobe, Production Code
- **Published:** August 25, 2026
- **Apply:** https://dejobs.org/x/x/9B305D731980445FAA4D433FCEFF219F/job/

## About the Role

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * 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.

## Description

* 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.


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