Position: Forward Deployed Engineer (FDE) – Gemini / Conversational AI / CCAS
Location: Toronto, ON
Experience: 5–10+ years
Role Type: Customer-facing / Hands-on Engineering
Role Summary
We are looking for an experienced Forward Deployed Engineer (FDE) with strong hands-on experience in Conversational AI / Contact Center AI (CCAI/CCAS), Generative AI and Google Cloud to work onsite with the customer.
The engineer will act as the technical bridge between the customer's business/technology teams and the AI engineering ecosystem, taking AI/CX concepts and prototypes through solution design, development, integration, deployment and production adoption.
The role requires someone who is comfortable working directly with customers, understanding complex business problems, building working prototypes, integrating enterprise systems and troubleshooting issues in production environments.
Key Responsibilities
Work onsite with customer stakeholders to understand Customer Experience (CX), Contact Center and Conversational AI requirements.
Translate business problems into Gemini/GenAI-powered customer experience solutions.
Design and develop conversational AI/agentic solutions using Google Cloud, Gemini and Vertex AI.
Build and integrate conversational applications with:
Enterprise APIs
CRM/contact-center platforms
Knowledge repositories
Enterprise data sources
Identity/security systems
Legacy applications
Develop and optimize RAG-based solutions, knowledge grounding and enterprise search.
Build, test and deploy AI agents / conversational workflows.
Troubleshoot AI/agent behavior, integrations, latency, tool selection and production issues.
Develop evaluation/observability mechanisms to measure accuracy, latency, reliability and business outcomes.
Work closely with customer engineering, architecture and product teams to resolve technical blockers.
Take solutions from POC/prototype to production-grade implementation.
Identify reusable technical patterns and contribute them back to engineering/product teams.
Provide technical leadership during customer workshops, discovery sessions and solution demonstrations.
Support adoption and ensure the implemented solution delivers measurable customer/business value.
Mandatory Skills
Strong experience in:
Forward Deployed Engineering / Customer Engineering / Solution Engineering
Conversational AI / Contact Center AI / CCAS/CCAI
Generative AI / LLM applications
Google Cloud Platform (GCP)
Gemini / Vertex AI
Python or another modern programming language
REST APIs / enterprise integrations
RAG / vector databases / enterprise knowledge bases
Cloud-based application architecture
Production deployment and troubleshooting
Strong customer-facing communication
Google's current FDE requirements similarly emphasize Python/software development, AI architecture on GCP, enterprise integrations, RAG/knowledge bases, production troubleshooting and moving conversational prototypes into production. �
Google +1
Good-to-Have
Gemini Enterprise / Gemini for Google Cloud experience
Vertex AI Agent Builder / Agent Development Kit (ADK)
Multi-agent architectures
MCP / tool calling
LangChain / LangGraph / CrewAI
Contact Center AI / Dialogflow
Cloud Run / GKE / Pub/Sub
Terraform
CI/CD
Observability and AI evaluation frameworks
Experience working with CRM/contact-center platforms such as Salesforce, ServiceNow, Genesys, NICE, etc.
Experience with enterprise security, IAM and data privacy