Forward Deployed Engineer IV, Applied AI, Google Cloud

engineeringjobs.net, Inc.; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

PTO 20 days

Job summary

Google Cloud is seeking a Forward Deployed Engineer IV in Applied AI to drive end-to-end customer AI initiatives and productionize conversational prototypes at client sites.

You will own the lifecycle from concept to value, working with customers and Google engineers to deliver scalable, secure AI systems with high reliability.

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field; equivalent practical experience.
• 8 years of experience with software development using Python or similar languages.
• Experience deploying resources via Terraform or similar tools.
• Experience building full-stack applications interacting with enterprise IT infra.
• Experience architecting AI systems on cloud platforms (GCP).

Responsibilities

• Lead developer for conversational AI and customer-experience apps; move prototypes to production-grade workflows.
• Architect and code conversational flows connecting Google's products to customers' live infra.
• Build high-performance evaluation pipelines and observability frameworks for AI workloads.
• Identify repeatable field patterns and convert them into reusable modules for engineering teams.
• Co-build with customer teams to ensure project success and adoption.

Skills

Python

Terraform

Full-stack

Cloud platforms

AI systems

Education

Bachelor's degree in Engineering or CS

Master's/PhD preferred

Tools

Terraform

Job description

Forward Deployed Engineer IV, Applied AI, Google Cloud

Location: San Francisco, CA, USA; Atlanta, GA, USA; +9 more; +8 more

Experience Level: Advanced

Interview Process

In most instances, this position requires in-person interviews as part of the hiring process. The application window will be open until at least September 29, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

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. This role may also be located in our Playa Vista, CA campus.

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.

Benefits

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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• 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: San Francisco, CA, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Irvine, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Austin, TX, USA; Los Angeles, CA, USA.

Minimum Qualifications

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
• Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).

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 identifications (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.
• Track record of troubleshooting live, high-traffic systems during critical windows.
• Ability to travel up to 50% of the time.

About the Job

As a Forward Deployed Engineer (FDE) in Applied AI, you will be the Agent Engineer and the primary driver for our customers' most critical AI initiatives. You will 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. This is a high-travel 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 have an understanding of software engineering, Machine Learning operations, and cloud infrastructure.

It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.

US Salary: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Responsibilities

• Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
• Architect and code conversational flows that are functional, and 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 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 Applied Artificial Intelligence (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 project success and end-user adoption.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.