Job Description
$123,000 - $176,000 a year
Parental leave, Health insurance, 401(k) matching, Paid time off, Vision insurance, Dental insurance, Disability insurance, Paid holidays
Atlanta, GA
Profile insights
Find out how your skills align with the job description
Skills
Do you have experience in Technical solutions implementation?
Education
Do you have a Master's degree?
Full job description
The application window will be open until at least February 04, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
This role may also be located in our Playa Vista, CA campus.
"Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act."
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
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
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; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.
Minimum qualifications:
Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, SRE, or DevOps.
3 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 qualifications:
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.
About the job
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 will take initial conversational prototypes and transform them into production-ready solutions, owning the engineering life-cycle and the transition from the "Art of the Possible" to real-world business value and scalable, secure AI systems. Focused on leading technical delivery for Conversational AI pilots, you will establish the first Customer User Journeys (CUJs) for our largest customers at their sites, utilizing your 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 solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, ****** orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
You must create an Indeed account before continuing to the company website to apply
©2026 Indeed
Your Privacy Choices
Accessibility at Indeed
Parental leave, Health insurance, 401(k) matching, Paid time off, Vision insurance, Dental insurance, Disability insurance, Paid holidays
Atlanta, GA
Profile insights
Find out how your skills align with the job description
Skills
Do you have experience in Technical solutions implementation?
Education
Do you have a Master's degree?
Full job description
The application window will be open until at least February 04, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
This role may also be located in our Playa Vista, CA campus.
"Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act."
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
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
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; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.
Minimum qualifications:
Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, SRE, or DevOps.
3 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 qualifications:
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.
About the job
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 will take initial conversational prototypes and transform them into production-ready solutions, owning the engineering life-cycle and the transition from the "Art of the Possible" to real-world business value and scalable, secure AI systems. Focused on leading technical delivery for Conversational AI pilots, you will establish the first Customer User Journeys (CUJs) for our largest customers at their sites, utilizing your 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 solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, ****** orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
You must create an Indeed account before continuing to the company website to apply
©2026 Indeed
Your Privacy Choices
Accessibility at Indeed
💡 Quick Summary
Seeking a career-building opportunity? The Field Solutions Architect, Google Cloud, Applied AI position is now open for candidates interested in the Architect / Interior Designer Jobs sector. This role in Atlanta offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Architect / Interior Designer Jobs is a plus.
