Senior AI Architect

Role OverviewWe 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 ecosystemKey ResponsibilitiesAI Leadership StrategyLead our end to end AI development balancing hands on model design and implementation with guiding and mentoring the broader AI engineering and research teamsArchitecture Design and DeploymentDesign build and deploy production grade machine learning models including LLMs on the Google Cloud Platform Vertex AI using Python and related frameworksCollaboration Ecosystem ManagementPartner closely with internal AI teams Google and other technology vendors to sustain momentum drive innovation and align with evolving best practicesGovernance Security and AIRB ComplianceOwn and execute AI governance processes including AI Risk Board AIRB reviews data security compliance and ethical AI considerations across all AI initiativesModel Development EvaluationDesign 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 fairnessAdvanced ArchitecturesApply agentic architectures and Retrieval Augmented Generation RAG to build intelligent context aware AI systems Experience with Parameter Efficient Fine Tuning PEFT is a plusPerformance ScalabilityOptimize and fine tune models for performance efficiency scalability and accuracy across production workloadsCross Functional CollaborationWork with business stakeholders and engineering teams to translate complex business problems into scalable and efficient AI driven solutionsContinuous InnovationStay ahead of emerging trends in AI ML LLMs and MLOps to continuously enhance solution quality and team capabilityCustomer Partner EngagementCollaborate directly with customer technical experts and partners eg Google to design solutions that meet business goals and compliance requirements demonstrating technical and business maturityQualificationsAdvanced hands on experience in Machine Learning LLMs and MLOpsProven expertise in Google Vertex AI Python and Google CCAI CES platformsDeep understanding of AI governance AIRB security and responsible AI principlesExperience in model evaluation frameworks agentic architectures and RAG pipelinesStrong communication and collaboration skills for engaging with cross functional teams vendors and stakeholdersDemonstrated ability to balance innovation with operational rigor in production grade AI environments

Required Experience :

Senior IC

Key Skills

Apache Hive,S3,Redshift,Spark,AWS,Solr,NoSQL,Data Warehouse,Internet Of Things,Kafka,DynamoDB,ZooKeeper

Employment Type : Full-Time

Experience : years

Vacancy : 1