Google · 10 hours ago
Field Solutions Architect, Applied AI, Google Cloud
Mountain View, CA, USA
Full-time
Onsite
Mid, Senior Level
$147K/yr - $216K/yr
6+ years expGoogle is a leading technology company, and they are seeking a Field Solutions Architect in Applied AI to drive critical AI initiatives for their customers. This role involves transforming conversational prototypes into production-ready solutions and leading technical delivery for Conversational AI pilots.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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 that are not just functional, but optimized for 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
Qualification
Required
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 build 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 also in developing and driving customer projects forward in a timely manner
Preferred
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
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
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
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