Field Solutions Architect, Applied AI

About the Role: Field Solutions Architect, Applied AI

As a Field Solutions Architect (FSA) in Applied AI at Google, you embody the role of an "Agent Engineer," serving as the primary delivery arm for our customers' most critical AI initiatives. This high-impact, high-travel position focuses on transforming initial conversational prototypes into robust, production-ready solutions. You will own the entire engineering lifecycle, from the "Art of the Possible" to delivering real-world business value through scalable and secure AI systems. Your expertise will be crucial in leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers directly at their sites. This role demands a strong understanding of software engineering, MLOps, and cloud infrastructure.

About Google Cloud

Google Cloud empowers organizations worldwide to digitally transform their businesses and industries. We provide enterprise-grade solutions leveraging Google’s cutting-edge technology and tools that enable developers to build more sustainably. Trusted by customers in over 200 countries and territories, Google Cloud is a partner in growth, helping solve critical business challenges.

Responsibilities

• Lead the development of Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
• Architect and code conversational flows, optimizing the "connective tissue" between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
• Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
• Identify repeatable field patterns and technical "friction points" in Google’s AAI stack, converting them into reusable modules or product feature requests for engineering teams.
• Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, Site Reliability Engineering (SRE), or DevOps.
• 6 years of experience in Python and experience architecting scalable AI systems on cloud platforms.
• Experience deploying conversational agents using code-based frameworks and building in real-time with customers utilizing modern generative AI tools.
• Experience in deploying resources via Terraform or similar tools to automate the setup of agents, functions, and networking.
• Experience building full-stack applications (not just scripts) that interact with enterprise IT infrastructures and developing and driving customer projects forward in a timely manner.

Preferred Qualifications

• Master’s 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 ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.
• Experience debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
• Experience connecting agents to enterprise knowledge bases and optimizing Retrieval-augmented generation (RAG) chunking to prevent hallucinations.
• Ability to troubleshoot live, high-traffic systems during critical windows.
• Ability to travel up to 50% of the time.

Benefits

Google offers a comprehensive benefits package to all eligible US-based employees, including:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Key skills/competency

• Conversational AI
• AI System Architecture
• Python Programming
• Cloud Platforms (Google Cloud)
• Generative AI Tools
• MLOps Practices
• Terraform (IaC)
• Full-Stack Development
• Customer Project Leadership
• Debugging Agent Logic