2 days ago
Base Salary
$207k - $300k/yr
Responsibilities
- Develop complex AI applications and transition rapid 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.
- Build evaluation pipelines and observability frameworks for agentic-system accuracy, safety, and latency.
- Identify recurring field patterns and friction points and convert them into reusable modules or product feature requests.
- Co-build with customer engineering teams and establish development practices that support long-term adoption and project success.
- 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.
- Eight 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 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 automation and experimentation.
- Preferred: knowledge of LLM-native metrics, state-management optimization, granular tracing, BigQuery, and Vertex AI data engineering pipelines.
Benefits
- US base salary is $207000 - $300000, plus a 20% bonus target, equity, and benefits.
- The role focuses on the State and Local Government market and involves embedded, customer-facing work in public-sector 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.