Senior AI Architect to lead

Role Overview
We are seeking a Senior AI Architect to lead the design development and governance of cutting edge AI solutions This role requires both hands on technical expertise and strategic leadershi driving innovation while ensuring compliance security and scalability across our AI ecosystem
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
Cross Functional Collaboration
Work with business stakeholders and engineering teams to translate complex business problems into scalable and efficient AI driven solutions
Continuous Innovation
Stay ahead of emerging trends in AI ML LLMs and MLOps to continuously enhance solution quality and team capability
Customer Partner Engagement
Collaborate directly with customer technical experts and partners eg Google to design solutions that meet business goals and compliance requirements demonstrating technical and business maturity

Qualifications
Advanced hands on experience in Machine Learning LLMs and MLOps
Proven expertise in Google Vertex AI Python and Google CCAI CES platforms
Deep understanding of AI governance AIRB security and responsible AI principles
Experience in model evaluation frameworks agentic architectures and RAG pipelines
Strong communication and collaboration skills for engaging with cross functional teams vendors and stakeholders
Demonstrated ability to balance innovation with operational rigor in production grade AI environments