🛠 Tech Stack

💼 About This Role

You'll lead end-to-end AI solution architecture, translating business requirements into technical blueprints for RAG and multi-agent systems. You'll partner with sales and clients in consultative pre-sales engagements, designing advanced Gemini Enterprise and Vertex AI solutions. This role bridges strategy, engineering, and client engagement, shaping mission-critical enterprise AI for measurable business value.

🎯 What You'll Do

• Lead AI solution architecture across RAG, multi-agent systems, and enterprise workflows
• Support consultative discovery and technical design during complex pre-sales engagements
• Architect and govern Gemini Enterprise and Vertex AI solutions with enterprise standards
• Serve as technical liaison between clients, internal teams, and Google Cloud stakeholders

📋 Requirements

• 12+ years of technical architecture experience in AI, data, and enterprise solution design
• Expert-level knowledge of Gemini Enterprise, Vertex AI, and BigQuery ML
• Client-facing experience influencing CXO-level stakeholders
• Deep understanding of AI orchestration frameworks (e.g., Python, LangGraph, ADK)

✨ Nice to Have

• Google Professional Machine Learning Engineer certification
• Experience with TPU/HPU-based AI workloads

🎁 Benefits & Perks

• 💰 Competitive base salary $155,000-$220,000 depending on experience and location
• 🏥 Comprehensive medical, dental, and vision insurance
• 🏖️ Paid time off, holidays, and dedicated paid learning days
• 🏡 Fully remote work flexibility within the United States
• 📈 Performance-based incentives aligned with individual and company outcomes

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min