AI Architect

Key Responsibilities  

• AI Leadership Strategy Lead our end to end AI development balancing hands on model design and implementation with guiding and mentoring the broader AI engineering and research teams
• Architecture Design and Deployment Design build and deploy production grade machine learning models including LLMs on the Google Cloud Platform Vertex AI using Python and related frameworks
• Collaboration Ecosystem Management Partner closely with internal AI teams Google and other technology vendors to sustain momentum drive innovation and align with evolving best practices
• Governance Security and AIRB Compliance Own and execute AI governance processes including AI Risk Board AIRB reviews data security compliance and ethical AI considerations across all AI initiatives Model
• Development Evaluation Design and implement models for Conversational AI leveraging Google CCAI CES components Lead model evaluation using robust Eval frameworks and metrics to ensure reliability accuracy and fairness
• Advanced Architectures Apply agentic architectures and Retrieval Augmented Generation RAG to build intelligent context aware AI systems
• Experience with Parameter Efficient Fine Tuning PEFT is a plus
• Performance Scalability Optimize and fine tune models for performance efficiency scalability and accuracy across production workloads