Forward Deployed Engineer III, Applied AI

Google; Greater London; Hybrid; GBP 110,000 - 170,000; Full time

Job summary

Google is seeking a software engineer in London with GenAI expertise to lead conversational AI pilots and deliver production-ready customer journeys. You will architect complex agentic workloads, optimize tool selection and latency, and ensure security and reliability across go-live windows.

Join a team shaping next-generation AI technologies at Google, with opportunities to work across full-stack domains, including information retrieval, distributed systems, and NLP.

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 concepts.
• 1 year of experience with AI/ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging).
• Experience developing and deploying multilingual natural language processing models.

Responsibilities

• Serve as the delivery lead for conversational AI pilots, refactoring code for production with secure integrations.
• Own the delivery of the initial Customer User Journeys (CUJs), optimizing for top customer priorities.
• Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and latency reduction.
• Implement infrastructure: rate limiting, error management, regional failover, monitoring and alerts during Go-Live.
• Architect security perimeters (VPC, IAM, CMEK) to satisfy CISO requirements and balance latency, accuracy, and cost.

Skills

Python

C++

GenAI techniques

AI/ML infrastructure

Multilingual NLP

Education

Bachelor’s degree or equivalent

Tools

LangGraph

CrewAI

ADK

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zürich, Switzerland; London, UK.

Minimum 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 with 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.

Preferred qualifications

• Master's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field.
• Expertise in debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.
• Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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 that conversational flows are not just functional, but 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.