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 (Eval) pipelines and observability frameworks.
• 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

• Opportunity to work with cutting-edge AI/ML technologies and cloud platforms.
• Engage directly with highly regulated clients to drive digital transformation.
• Collaborate on innovative solutions and influence Google Cloud's future product roadmap.