6 hours ago
Base Salary
$207k - $300k/yr
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, including APIs, legacy data silos, and security perimeters.
- Build high-performance evaluation pipelines and observability frameworks for agentic-system accuracy, safety, and latency.
- Identify reusable field patterns and AI-stack friction points and translate them into reusable modules or product feature requests.
- Co-build with customer engineering teams to establish development best practices and support long-term adoption.
- Lead technical discovery sessions with executive stakeholders and engineering teams to define AI and hardware infrastructure requirements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.
- 8 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript, or comparable languages.
- Experience building scalable structured and unstructured data pipelines using vector databases and RAG-like architectures.
- Experience architecting scalable AI systems on cloud platforms.
- Experience leading technical discovery with C-suite stakeholders and engineering teams.
- Preferred: master’s degree or PhD in AI, Computer Science, or a related technical field.
- Preferred: experience with multi-agent systems, LangGraph, CrewAI, Google’s ADK, ReAct, self-reflection, and hierarchical delegation.
- Preferred: experience with integrated systems, real-time inference constraints, and model quantization for resource-constrained environments.
- Preferred: proficiency with Vertex AI Pipelines, Kubeflow, or MLflow for CI/CD/CT automation and experimentation.
- Preferred: knowledge of LLM-native metrics, state-management optimization, granular tracing, BigQuery, and Vertex AI.
- Experience or willingness to work with secure public-sector environments and TS/SCI clearances is relevant to the team.
Benefits
- US base pay is listed as $207000-$300000, plus a 20% bonus target, equity, and benefits.
- The role focuses on the State and Local Government market within Google Public Sector.
- The position involves embedded, customer-facing work in Federal and SLED environments.
Tech Stack
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.