About this opportunity
InnoveusIT lists this AI Architect opportunity in richmond, va, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Title: – AI Architect with VertexAI and GCP Location : Richmond, VA (Remote )
Contract
Job Description:
Key responsibilities
Define and own the solution across GCS Cloud Run GKE PubSub 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 SLAs
Produce and review technical artifacts HLDLLD sequence and flow diagrams ADRs
Provide 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 MongoDB
Event driven and asynchronous design Pub Sub API gateway patterns Apigee containerization and Kubernetes GKE
Enterprise 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 embeddings
laC Terraform CICD on GCP cost optimization at scale
Google Professional Cloud Architect certification
Skills
Mandatory Skills : Java Microservices
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.