Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers in deploying bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales leadership, and resolving production-level obstacles related to AI adoption.

Software Engineer on the Acceleration Platform Team building scalable, AI-native agentic systems to automate complex workflows and solve enterprise-scale engineering problems. The role involves leading zero-to-one initiatives, defining AI-first engineering best practices, scaling evaluations and guardrails for AI safety, and building advanced telemetry for debugging and optimizing self-supporting behaviors.

Software Engineer on the Acceleration Platform team in Singapore, responsible for designing and implementing AI-native agentic systems to eliminate developer toil. The role involves leading zero-to-one technical initiatives, building scalable frameworks for self-sustaining AI at an enterprise scale, and mentoring junior peers. Responsibilities include designing systems where AI agents reason and execute workflows, blending traditional software development with prompt engineering and RAG, creating evaluation pipelines for AI performance, and troubleshooting non-deterministic AI behaviors.

Staff Software Engineer at Google focused on Content Safety, Productionization. This role involves safeguarding business-critical products, including GenAI experiences, by designing, building, and scaling content safety solutions like classifiers and multimodal understanding. Key responsibilities include working on agentic workflows for threat understanding and content moderation, leading ML solution design, optimizing ML infrastructure, and guiding model optimization and data processing strategies. The role requires significant experience in software development, ML infrastructure, and ML design, with a focus on productionizing AI for safety.

Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization.

Forward Deployed Engineer II, Generative AI, Google Cloud. This role involves building and shipping production-grade agentic AI solutions within customer environments, managing integration complexities, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to product roadmaps. Requires experience with Python/Typescript, building AI solutions, data pipelines with vector databases/RAG, and cloud platforms. Preferred experience with multi-agent frameworks and LLM optimization techniques.

Senior Software Engineer to lead the design and development of end-to-end testing solutions using AI-powered humanoid robots. The role involves creating agents that physically interact with devices to validate user experiences and run exploratory tests, integrating hardware, embedded software, and AI models, and collaborating with AI and robotics teams.

Research Scientist role focused on Android security and AI agent safety, developing novel research and agent-powered systems to detect and prevent various forms of abuse. The role involves analyzing codebases using ML and collaborating with internal and external partners.

Research Scientist focused on protecting Android users from abusive apps by developing and publishing novel research on Android security and AI agent safety. The role involves designing neuro-symbolic and agent-powered systems, analyzing codebases using machine learning, and collaborating with internal and external partners to improve defenses against evolving threats.

Software Engineer role focused on building an AI-native Software Development Lifecycle (SDLC) ecosystem for Android and Pixel. The role involves developing intelligent tools, automation, and evaluation methodologies, leveraging on-device and cloud-based AI technologies, including LLMs and multi-agent systems, to optimize functionality, stability, and release velocity.

Software Engineer III at Google, Enterprise Data Protection team, focused on building security controls to prevent data exfiltration, including threats from autonomous AI agents. The role involves designing and implementing AI-based classification systems and ensuring controls mitigate risks from both human and AI threats.

Security Engineer focused on securing enterprise AI products and features at Google, assessing controls, and mitigating risks associated with AI use. Responsibilities include delivering security assessments and threat models for AI agents, proposing technical guardrails, and assisting with escalations.

This role is for a Senior Security Engineering Manager to lead a new team in Singapore focused on securing Alphabet's enterprise systems and data in the context of AI adoption. The team will develop novel approaches and use AI-motivated automation to manage AI enterprise security risks and enable safe enterprise use of AI, particularly agentic AI workflows.

Software Engineering Manager to lead a team building AI-native, agentic systems for developer productivity, focusing on secure-by-default launches and automating model introspection. This role involves technical leadership, team building, and cross-functional collaboration.

Customer Engineer role focused on deploying and scaling Gemini Enterprise AI workloads for enterprise customers, involving technical unblocking, deployment planning, and driving adoption of AI-assisted workflows and multi-modal agents.

Senior Software Engineer role focused on building AI-based security controls to prevent data exfiltration, specifically addressing threats from autonomous AI agentic actions within Google's enterprise systems.