Gen AI Solutions Engineer

Role Overview

As a Gen AI Solutions Engineer, you’ll turn enterprise AI ambitions into working software. You’ll run technical discovery with customer teams, design agentic workflows on Google Cloud Vertex AI, and act as a trusted advisor to both engineers and executives.

What You Will Do

Design and build agentic systems, design and deploy agents using Agent Development Kit (ADK), Model Context Protocol (MCP), and Agent-to-Agent (A2A) protocols, build production systems with Vertex AI Agent Builder, LangChain, and LlamaIndex.

Why It Might Be a Fit

You’ll lead discovery and scoping, run discovery workshops with customer leadership to define objectives, constraints, and success metrics, and present technical roadmaps that connect AI capabilities to business outcomes.

Requirements

• 4+ years designing and deploying AI/ML solutions, ideally in a customer-facing or consulting role
• Hands-on experience building agents and agentic workflows with modern frameworks (LangChain, LlamaIndex, ADK)
• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face)
• Practical experience with LLM applications, RAG pipelines, vector embeddings, and prompt engineering
• Working knowledge of Google Cloud Platform, particularly Vertex AI (Agent Builder, Model Garden), BigQuery, and Cloud Run
• Strong presentation skills across technical and executive audiences
• Experience with data preparation and feature engineering for production AI systems
• A track record of translating AI capabilities into business strategy, and building relationships with customer leadership

Benefits

• Health, dental, and vision insurance
• Paid time off
• Ongoing training and certification support