ML Architect

📋 Description Set technical direction for GenAI and agentic systems end-to-end; establish standards for Hands-on building foundation-model and embedding workflows; use Python on Google Cloud Vertex AI Design for latency, reliability, cost, and scale; apply MLOps to reach production. Architect and operate agentic workflows for multi-step reasoning at scale; prevent cascading Advise clients and shape deals; act as the technical authority in pre-sales. Mentor engineers and raise the bar for AI-augmented engineering. 🎯 Requirements Bachelor's or Master's degree in Computer Science/Engineering or related field. 12+ years in software/AI/ML engineering with production AI systems. Proven technical leadership; architecture ownership across engagements/teams. Experience deploying GenAI/agentic products to production; programmatic impact. Experience with classic ML; foundation-model or novel-model work is a plus. Senior client-facing experience translating technical complexity into business value. 🎁 Benefits