1 day ago
Mumbai, India +2 moreStaff+
Responsibilities
- Develop complex AI applications and transition prototypes into production-grade agentic workflows, including multi-agent systems and MCP servers.
- Architect and code integrations between Google AI products and customer infrastructure, APIs, legacy data silos, and security perimeters.
- Design and deploy agentic developer workflows on Google Cloud, including large-scale refactors, language migrations, specification-to-pull-request pipelines, and automated review and incident-to-fix loops.
- Embed with customer staff engineers and leaders to identify SDLC bottlenecks and define measurable success metrics.
- Integrate agentic systems with customer ISV platforms and tools such as Teamwork Graph, GitLab, ServiceNow, and Slack using MCP and A2A protocols.
- Own customer engineering projects end to end, from discovery and build through rollout, hardening, and ongoing reliability.
- Transform field insights into feedback for Google Cloud product road maps.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Eight years of experience in cloud computing or a technical customer-facing role.
- Experience deploying, scaling, and debugging LLM or agent-based systems in production, including tools, memory, orchestration, evaluation, tracing, and cost or latency profiling.
- Experience owning engineering projects end to end with executive stakeholders.
- Preferred: master’s degree or PhD in AI, Computer Science, or a related technical field.
- Preferred: experience implementing multi-agent systems with LangGraph, CrewAI, Agent Development Kit, ReAct, self-reflection, or hierarchical delegation.
- Preferred: experience with agentic frameworks, harness layers, MCP, A2A, third-party ISV platforms, and DevSecOps security ecosystems.
- Preferred: knowledge of LLM-native metrics and techniques for optimizing state management and granular tracing.
Benefits
- Access to Google Cloud’s AI portfolio, including Gemini models and the Vertex AI platform.
- Collaborative work with Google Cloud, DeepMind engineering, and research teams.
- Customer-embedded, technical field role within the Go-To-Market organization.
Tech Stack
Google CloudReact
Categories
Forward Deployed
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.