Forward Deployed Engineer II, Applied AI, Cloud

The application window will be open until at least May 12, 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 (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: 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.

• Ability to troubleshoot 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 are the "Agent Engineer" and the primary delivery arm for the 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. This is a high-travel, high-impact 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.

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 $127,000-$183,000 + 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.

• Bu