Forward Deployed Engineer III, Applied AI
RemoteFull-timePosted 4w ago
About the role
Forward Deployed Engineer (FDE) in Applied AI, acting as the primary delivery arm for customers' critical AI initiatives. Turns initial conversational prototypes into production-ready solutions, owning end-to-end engineering lifecycle within Google Cloud Applied AI (AAI) and Gemini Enterprise offerings.
Responsibilities
- Serve as the delivery lead for conversational AI pilots, taking initial proof-of-value code and refactoring it for production by replacing stubs with secure, real-world integrations.
- Own the delivery of the initial Customer User Journeys (CUJs), ensuring conversational flows are functional and optimized for top customer/industry priorities.
- Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
- Implement critical infrastructure, including rate limiting, error management, and regional failover strategies; develop monitoring systems and alerting dashboards during Go-Live windows to ensure stability as traffic scales.
- Architect security perimeters (VPC, IAM, CMEK) to satisfy CISO requirements and optimize RAG strategies to balance latency, accuracy, and cost.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Python or C++).
- 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (language modeling, computer vision).
- 1 year of experience with AI/ML infrastructure (e.g., model deployment, model evaluation, model optimization, data processing, or debugging).
- Experience developing and deploying multilingual natural language processing models.
Skills
Required:Programming in Python or C++GenAI techniquesAI/ML infrastructureMultilingual NLP
Last updated Oct 23, 2026. Interested? Apply on the company site.
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