1 day ago
London, United KingdomStaff+
Responsibilities
- Own technical engagements for complex AI workloads from technical evaluation through customer ramp and adoption.
- Lead AI solution strategy, architecture, and environment sizing based on performance, scale, and cost requirements.
- Develop customer-tailored demos, prototypes, proofs of concept, and integration solutions through hands-on coding.
- Drive AI workload qualification and identify impactful, feasible customer use cases.
- Act as a trusted technical advisor by consulting with customers and presenting to technical and executive stakeholders.
- Partner with sales, product, engineering, and go-to-market teams on customer solutions, reusable assets, feature requests, and issue resolution.
- Travel to customer sites, conferences, and industry events as required.
Requirements
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud-native architecture in a customer-facing or support role.
- Experience coding in Python, JavaScript or TypeScript, Go, or Java for customer demos, prototypes, or integration workshops.
- Experience architecting AI-agent solutions that integrate enterprise data sources using RAG, Text-to-SQL, and semantic search.
- Experience with search retrieval, ranking, and search quality tuning.
- Experience presenting to technical stakeholders and executive leaders.
- Preferred experience developing agents with LangGraph, Semantic Kernel, or Google AI Agent Development Kit (ADK).
- Preferred experience with SaaS applications, iPaaS, business automation solutions, cloud infrastructure, agentic AI, and cloud networking.
- Preferred experience with large enterprise clients, especially in Consumer Products and Retail.
- Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.
- Understanding of OpenAPI and Model Context Protocol (MCP) integration patterns for connecting agents with business systems and API gateways.
Benefits
- Customer-facing role with opportunities to work with enterprise clients and Google Cloud sales, product, engineering, and go-to-market teams.
- Travel to customer sites, conferences, and industry events as required.
Tech Stack
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.