AI Architect

Key responsibilities: Define and own the solution across GCS Cloud Run GKE Pub Sub AlloyDB Vertex AI Document AI Apigee and Google Storage Transfer Service Design an API first platform with clear contracts Open API versioning and integration patterns for consuming systems Salesforce ERPJDE internal apps Solution 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 volume Lead the migration activities bucket to bucket file movement and MongoDB AlloyDB metadata migration manifest driven restart able reconciliation first with zero unnecessary data copying Lead 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 requirements Own 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 reprocessing Define 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 engineers Required skills experience 15 years in software engineering with 5 years in a hands on lead role Deep GCP experience including at least one largescale production system Strong Java Spring Boot background able to review and write production code Proven experience with large volume data or content platforms and complex data migrations Strong 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 equivalent Excellent written and verbal communication comfortable defending design decisions with senior stakeholders Proven experience architecting AIML enabled applications on cloud Vertex AI Document AI or equivalent model service selection integration patterns and cost aware design at volume

Nice to have: Prior work on document content management ECM or records management platforms Search technology experience full text faceted vector semantic search with embeddingslaC Terraform CICD on GCP cost optimization at scale Google Professional Cloud Architect certification Skills

Mandatory Skills: Java Microservices