Enterprise Applied AI Solutions Architect

Google LLC; City of Westminster; On-site; GBP 103,000 - 105,000; Full time

Benefits offered by this job

Equity

Bonus target (20%)

Job summary

Google LLC in London/Stockholm seeks a Customer Engineer, Applied AI to translate transformative AI capabilities into concrete business solutions. You will lead technical strategy for Applied AI agents, architect robust blueprints, and partner with C-level stakeholders to accelerate enterprise deployment.

You’ll work with Gemini models and Vertex AI, shaping reference prototypes and ensuring security and latency requirements across enterprise journeys.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years in a customer-facing technical role or cloud software engineering.
• 2 years building AI or retrieval solutions with AI APIs or frameworks.
• Experience coding in Python or a modern backend language with REST APIs.

Responsibilities

• Design end-to-end architectures for enterprise AI agent solutions.
• Lead technical discussions with enterprise stakeholders and present architectures.
• Architect compliant, scalable blueprints integrating with CRMs, ERPs, and backends.
• Develop reference prototypes and accelerators for rapid production deployment.

Skills

Cloud customer engineering experience

Python / backend language

REST APIs / OpenAPI

Enterprise stakeholder communication

Generative AI / Conversational AI

Education

Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience

Tools

Google ADK

LangGraph

Semantic Kernel

Job description

Google LLC in London/Stockholm seeks a Customer Engineer, Applied AI to translate transformative AI capabilities into concrete business solutions. You will lead technical strategy for Applied AI agents, architect robust blueprints, and partner with C-level stakeholders to accelerate enterprise deployment.

You’ll work with Gemini models and Vertex AI, shaping reference prototypes and ensuring security and latency requirements across enterprise journeys.