Solution Engineer

We are building a Technical Solution Engineering team to support the design, integration, and implementation ofAgentic AI solutionsacross Sales, Marketing, and Engineering on Google Cloud. The Technical Solution Engineer will work closely with AI Architects, AI Engineers, and Business Analysts to design functional solutions, integrate APIs, configure workflows, validate outputs, and ensure smooth delivery of scalable, secure, production-grade agentic systems.

This role bridgestechnical engineering,solution design, andhands-on implementation, making it ideal for engineers who understand both business workflows and AI-driven architectures.

Solution Engineering & Design Support

Translate business and functional requirements intotechnical solution designs, integration specifications, and logical workflows.

Partner with AI Architects to design solutions involving:

Multi-agent workflows

RAG pipelines

Tool/function integrations

Data ingestion and transformation

Workspace automation

Build solution diagrams, data flow maps, and integration sequences.

Implementation & Integration Engineering

Implement integration layers across Google Workspace APIs, public APIs, CRM/MAP systems, and internal Google systems.

Develop backend services and tools usingPython, TypeScript/Node.js, Cloud Functions, and Cloud Run.

Configure and operationalize agents by setting up tools, prompts, workflows, and parameters as defined by the architecture.

Integrate retrieval systems, vector databases, and model inputs into AI pipelines.

Technical Troubleshooting & Support

Troubleshoot AI outputs, integration failures, workflow issues, API failures, and latency bottlenecks.

Work with DevOps/LLMOps to monitor model usage, agent logs, rate limits, and performance.

Debug issues across cloud services, APIs, and data pipelines.

Build utility tools/scripts to automate common operational tasks.

Quality Engineering & Validation

Validate end-to-end workflow functionality and agent behavior against:

Acceptance criteria

Golden datasets

Error-handling rules

Hallucination detection tests