AI Architect

Key responsibilities: Define and own the solution across GCS Cloud Run GKE PubSub AlloyDB Vertex AI Document AI Apigee and Google Storage Transfer ServiceDesign an API first platform with clear contracts Open API versioning and integration patterns for consuming systems Salesforce ERPJDE internal appsSolution for scale partitioning and indexing strategy in Alloy DB for hundreds of millions of metadata rows GCS bucket object layout lifecycle and storage class policies search performance at volumeLead the migration activities bucket to bucket file movement and MongoDB AlloyDB metadata migration manifest driven restart able reconciliation first with zero unnecessary data copyingLead the security activities Okta based auth NauthZ OIDCSAML token flows for UI vs system clients IAM and service account boundaries CMEK encryption signed URLs data classification audit trails and compliance requirementsOwn the AI enrichment solutioning selecting the right mix of Document AI processors Vertex AI models and custom extractors per document type and defining integration patterns APIs SDKs event driven flows with failure handling and reprocessingDefine the AI cost and performance model batching strategy model tiering by document complexity and cost per document targets balanced against extraction accuracy and SLAsProduce and review technical artifacts HLDLLD sequence and flow diagrams ADRsProvide technical governance design reviews code reviews and mentoring of leads senior engineersRequired skills experience 15 years in software engineering with 5 years in a hands on lead roleDeep GCP experience including at least one largescale production systemStrong Java Spring Boot background able to review and write production codeProven experience with large volume data or content platforms and complex data migrationsStrong relational data modelling and performance tuning Postgre SQL AlloyDB working knowledge of MongoDBEvent driven and asynchronous design Pub Sub API gateway patterns Apigee containerization and Kubernetes GKEEnterprise security and identity experience Okta or equivalentExcellent written and verbal communication comfortable defending design decisions with senior stakeholdersProven experience architecting AIML enabled applications on cloud Vertex AI Document AI or equivalent model service selection integration patterns and cost aware design at volumeNice to havePrior work on document content management ECM or records management platformsSearch technology experience full text faceted vector semantic search with embeddingslaC Terraform CICD on GCP cost optimization at scaleGoogle Professional Cloud Architect certificationSkillsMandatory Skills : Java Microservices