Applied AI / Forward deployment Engineer

Role: FDE - Applied AI

Location: Remote (work timing PST)

•                     As a Forward Deployed Engineer (FDE) in Applied AI, you are the Agent Engineer and the primary driver 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 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.

•                     This role requires a deep understanding of software engineering, Machine Learning Operations, and cloud infrastructure.

Job Responsibilities:

•                     Serve as the lead developer 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 (Gemini-powered Conversational Agents/CX, Customer Engagement Suite, and Contact Center AI) 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 engineering, Computer Science, a related field, or equivalent practical experience.

•                     5 years of experience with software development using Python or similar coding languages.

•                     Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).

•                     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.

•                     Hands-on experience implementing and customizing Google’s Conversational AI product suite, including Conversational Agents (Gemini-powered CX), Customer Engagement Suite (CES), and Contact Center AI (CCAI).

Preferred Qualifications:

•                     Master’s 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.

•                     Track record of troubleshooting live, high-traffic systems during critical windows.

•                     Ability to travel up to 50% of the time.

•                     Additional deployment readiness criteria (Google RFI benchmark)

•                     Conversational AI & Agentic Depth: Production-grade experience architecting voice and agentic systems across the Google Enterprise CX ecosystem (Dialogflow CX, CX Agent Studio, SCRAPI, Agent Assist, CCaaS).

•                     Vetted Technical Rigor: Formally assessed, top-decile engineering talent (e.g., Google AI/FDE Bootcamp certification or verified 80%+ benchmark assessments).

•                     Telecom Architecture Fluency: Demonstrated domain depth with telecom APIs, user authentication (UA), and enterprise business architectures (BAA).

•                     Autonomous Delivery & Multiplier Impact: Senior tiger team talent capable of driving execution independently while actively upskilling co-delivery partner teams.