Forward Deployed Engineer, Generative AI

This is a fully remote position, open to applicants in Texas.

📋 Description

• Lead the on-site implementation, integration, and scaling of enterprise Generative AI solutions.

• Work closely with customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud platforms (AWS, Azure, GCP).

• Serve as a bridge between AI research and production-quality cloud infrastructure.

• Collaborate with cross-functional teams and business partners to utilize analytical skills and ensure the realization of business value.

⛳️ Requirements

• Create intelligent agents utilizing Vertex AI Agent Builder to automate intricate business workflows.

• Use the Agent Developer Kit (ADK) to construct and manage multi-agent systems that work together to address comprehensive business challenges.

• Implement tools like the MCP (Model Context Protocol) Toolbox to securely link agents with enterprise databases such as BigQuery and Spanner.

• Employ Vertex AI for model training, tuning, and deployment, ensuring smooth integration with BigQuery for feature engineering.

• Design and enhance streaming data pipelines (e.g., through Dataflow) for real-time inference using RunInference API or Vertex AI endpoints.

• Ground AI models within a live business context by utilizing vector engines in BigQuery or AlloyDB to prevent "AI amnesia".

• Active Participation: Attend all internal and client-facing meetings punctually.

• Transparent Communication: Regularly provide structured updates to team members and stakeholders regarding project milestones and technical obstacles.

• Proactive Collaboration: Exhibit the capability to seek assistance when encountering technical challenges and contribute to a collaborative troubleshooting atmosphere.

• Consultative Approach: Navigate corporate settings to convert high-level business objectives into solid technical architectures.

• Vertex AI Mastery: Demonstrable experience with Model Garden, Vertex AI Pipelines, and model evaluation.

• Data Proficiency: Advanced proficiency in SQL for BigQuery, Python for ML engineering, and data preprocessing methods (scaling, encoding, imputation).

• Cloud Infrastructure: Practical experience with Google Cloud Storage and Vertex AI endpoints.

• Emerging Tech: Familiarity with stateful real-time processing and the latest advancements in agentic architectures.

🏝️ Benefits

• This position presents a remarkable opportunity for significant career advancement in a rapidly growing and challenging entrepreneurial environment, offering a high level of individual responsibility.