Field Solutions Architect, Applied Artificial Intelligence, Cloud
Listed on 2026-02-07
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IT/Tech
AI Engineer, Systems Engineer
Overview
The application window will be open until at least February 3, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Boulder, CO, USA;
Chicago, IL, USA;
Addison, TX, USA;
Kirkland, WA, USA;
Miami, FL, USA;
Mountain View, CA, USA;
Reston, VA, USA;
Seattle, WA, USA;
San Francisco, CA, USA;
Washington D.C., DC, USA.
- Serve as the lead developer for complex Conversational AI and Customer Experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable ROI.
- Architect and code conversational flows that connect Google’s Conversational AI products with customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
- Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining security and networking in production.
- 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.
- Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, SRE, or Dev Ops.
- Experience in Python, and architecting scalable AI systems on cloud platforms.
- Experience deploying conversational agents using code-based frameworks.
- Experience deploying resources via Terraform or similar tools, and automating the setup of agents, functions, and networking.
- Experience building full-stack applications that interact with enterprise IT infrastructures.
- Master’s degree in AI, Computer Science, or a related technical field.
- Experience troubleshooting live, high-traffic systems during critical windows, and in developing and driving customer projects forward in a timely manner.
- Experience debugging agent logic 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 RAG chunking to prevent hallucinations.
- Experience implementing multi-agent systems using frameworks like ReAct, self-reflection, and hierarchical delegation.
- Ability to build in real-time with customers utilizing modern generative AI tools, and travel up to 50% of the time.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Field Solutions Architect (FSA) in Applied AI, you are the "Agent Engineer" and the primary delivery arm for our customers most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. Your role is a high-travel and impactful role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites.
You will require an in-depth understanding of software engineering, MLOps, and cloud infrastructure.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade…
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