Description

Lead end-to-end AI and GenAI solution design, implementation, and strategy on Google Cloud, bridging technical execution with customer-facing solutioning.

This role is remote.

Responsibilities

• Design and implement scalable AI/GenAI solutions using Vertex AI, Gemini, and LLM architectures, including RAG and agent-based systems.
• Build PoCs, pilots, and demos to validate technical feasibility and demonstrate ROI to stakeholders.
• Translate business challenges into technical architectures, defining data pipelines with BigQuery, Dataflow, and Pub/Sub.
• Act as technical advisor in client workshops, RFPs, and strategic deal discussions, explaining AI capabilities and governance.
• Mentor internal teams on AI best practices and drive the creation of reusable accelerators and frameworks.

Required Skills

• 10+ years of experience in software engineering or solution architecture, with deep expertise in Google Cloud Platform.
• Hands-on proficiency with Vertex AI, Gemini, and LLM architectural patterns.
• Strong practical experience implementing Retrieval-Augmented Generation (RAG) and AI agent workflows.
• Proficiency in Python, API integration, and microservices development.
• Experience with GCP data services including BigQuery, Dataflow, Dataproc, and Cloud Storage.
• Ability to simplify complex AI concepts for non-technical business stakeholders.

Key Skills

Education

Any Graduate