Overview
As a Forward Deployed Engineer in Applied AI, you drive the end-to-end transformation of conversational AI prototypes into production-ready solutions. You lead delivery for customer journeys, optimize agent workloads, and implement secure, scalable infrastructure during go-live. You work with cross-functional teams to balance latency, accuracy, and cost while satisfying security requirements. This role blends hands-on engineering with strategic delivery to accelerate customer value with Gemini Enterprise and other AI solutions.
Responsibilities
- Lead delivery for conversational AI pilots and productionize PoC code with real integrations
- Own end-to-end Customer User Journeys (CUJs) and optimize conversational flows for top priorities
- Architect and optimize agentic workloads, including reasoning loops and tool selection, to reduce latency
- Implement critical infrastructure: rate limiting, error handling, regional failover, monitoring, and Go-Live readiness
- Design security perimeters (VPC, IAM, CMEK) to meet CISO requirements and enable secure RAG deployments
- Balance latency, accuracy, and cost through optimized RAG strategies and scalable architecture
- Develop monitoring dashboards and alerts for stable, scalable traffic during Go-Live windows
- Collaborate with model builders and cross-functional teams to deliver fast, reliable AI solutions
- Engage with enterprise knowledge bases and multi-agent frameworks to reduce hallucinations
Key requirements
- Bachelor’s degree or equivalent practical experience
- 2 years of software development experience in Python or C++
- 2 years of GenAI techniques or related concepts (LLMs, multi-modal, large vision models)
- 1 year of AI/ML infrastructure experience (deployment, evaluation, optimization, data processing, debugging)
- Experience developing and deploying multilingual natural language processing models
- Versatility and leadership
- Collaborative mindset across cross-functional teams
- Problem-solving and proactive communication
- Python or C++ programming
- GenAI techniques (LLMs, multi-modal, LVMs)
- AI/ML infrastructure (model deployment, evaluation, optimization)
Forward Deployed Engineer III, Applied AI in London employer: Google
As a Senior Manager in Ads Solutions Engineering at gTech, you will thrive in a dynamic and innovative environment that prioritises collaboration and professional growth. The company fosters a culture of continuous learning and development, offering ample opportunities to lead transformative projects while working with cutting-edge technologies. Located in a vibrant tech hub, gTech provides a unique chance to engage with top-tier clients and contribute to impactful solutions that drive success.
