Google · 1 hour ago
Field Solutions Architect, Applied AI
New York, NY
Full-time
Hybrid
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. In this role, you will be responsible for transforming conversational prototypes into production-ready solutions and leading technical delivery for Conversational AI pilots for major customers.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Serve as the lead developer for Conversational AI and Customer Experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable Return on Investment (ROI)
Architect 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, 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
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
Preferred
Master's degree or PhD in AI, Computer Science, or a related technical field
Experience implementing multi-agent systems using frameworks like ReAct and self-reflection
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 troubleshooting live, high-traffic systems during critical windows, and in developing and driving customer projects forward in a timely manner
Ability to build in real-time with customers utilizing modern generative AI tools, and 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
Recent News
Small Business Trends
2026-01-24
2026-01-24
Search Engine Journal
2026-01-24
Company data provided by crunchbase