Staff Forward Deployed Engineer, Google Cloud Public Sector

Requirements:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured and unstructured data using both vector databases and retrieval augmented generation (RAG) like architectures to power enterprise AI solutions.
• Experience leading technical discovery sessions with customers.
• Active, or the ability to obtain, a Security Check (SC) UK security clearance.

Nice to haves:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
• Experience in a post-sales or technical consulting delivery function.
• Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

What you'll be doing:

• Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows.
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements.
• Identify repeatable field patterns and technical "friction points" in Google’s AI stack.
• Co-build with customer engineering teams to instill Google-grade development best practices.

Perks and benefits:

• Must be a British citizen to meet compliance and security clearance requirements.
• Opportunity to work with highly regulated clients and transform their operations using advanced AI/ML technologies.
• Be part of Google Cloud's Innovation team and directly impact the future product roadmap.
• Equal opportunity and affirmative action employer commitment.