Forward Deployed Engineer II, GenAI, Google Cloud

Requirements:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
• 2 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., GCP)
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions

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, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation)
• Experience leading technical discovery sessions
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing

What you'll be doing:

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the engineering teams
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption

Perks and Benefits:

• Exciting opportunity to join Google Cloud's Go-To-Market team leading the AI revolution for businesses worldwide
• Access to Google's advanced AI portfolio and Vertex AI platform
• Collaborative culture providing direct access to DeepMind's engineering and research minds
• Equal opportunity and affirmative action employer fostering a culture of belonging and providing an equal employment opportunity
• Global company facilitating efficient collaboration by requiring English proficiency for all roles