Forward Deployed Engineer III, Applied AI, Google Cloud

Forward Deployed Engineer III, Applied AI, Google Cloud

Locations

• Atlanta, GA, USA
• Boulder, CO, USA
• Chicago, IL, USA
• Addison, TX, USA
• Kirkland, WA, USA
• Miami, FL, USA
• Reston, VA, USA
• Seattle, WA, USA
• San Francisco, CA, USA
• New York, NY, USA
• Austin, TX, USA
• Mountain View, CA, USA
• Washington D.C., DC, USA

Role: Forward Deployed Engineer (FDE) in Applied AI. As an Agent Engineer, you own the end‑to‑end engineering lifecycle for Conversational AI pilots. This high‑travel, high‑impact role requires deep knowledge of software engineering, MLOps, and cloud infrastructure.

About the job

As a Forward Deployed Engineer (FDE) in Applied AI, you are the “Agent Engineer” and the primary delivery arm for our customers’ most critical AI initiatives. You take initial conversational prototypes and transform them into production‑ready solutions, owning the end‑to‑end engineering life‑cycle, including the transition from “Art of the Possible” to real‑world business value and scalable, secure AI systems. This high‑travel, high‑impact role focuses on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. This role requires a deep understanding of software engineering, MLOps, and cloud infrastructure.

Responsibilities

• Lead development for complex 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 complex 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.

Minimum qualifications

• 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 building them in real‑time with customers utilizing modern generative AI tools.
• Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, and networking.
• Experience building full‑stack applications that interact with enterprise IT infrastructures and driving customer projects forward in a timely manner.

Preferred qualifications

• Master’s degree 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 complex 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 RAG chunking to prevent hallucinations.
• Proven track record of troubleshooting live, high‑traffic systems during critical windows.
• Ability to travel up to 50% of the time.

Benefits

• Health, dental, vision, life, disability insurance
• 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 per year (increased to 69 hours per 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

Compensation

The US base salary range for this full‑time position is $153,000–$222,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by job‑related skills, experience, and relevant education or training.

EEO Statement

Google is an equal‑opportunity employer and an affirmative action employer. We are committed to building a workforce that reflects the employees we serve, welcoming individuals from all backgrounds, and ensuring inclusive hiring practices.

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