Senior AI Solutions Engineer

Active Google Cloud Professional certification (Architect, Data Engineer, or ML Engineer); current, not lapsed

• Production Vertex AI agentic pipeline experience; built and shipped at scale, not demos

• GCP data pipeline engineering experience with Dataflow, Beam, Airflow, and BigQuery in production environments

• FHIR Server API integration experience (R4 minimum) built against a real server

• Pipeline observability experience including failure handling, retry logic, metrics, and drift detection

• Current possession of 4 out of 5 Gemini Enterprise for Customer Experience (GECX) technical skill badges

• GCP security model design experience including IAM, service account governance, agent identity, and log retention in regulated environments

• Active Google Cloud Delivery Readiness Program (DRP) Tier 1 score (50+) in a relevant product/solution area (e.g., Vertex AI / Generative AI). - Life sciences, pharmaceutical, or GxP environment experience

• Google Professional Services or large global systems integrator GCP practice background

• FHIR R5 depth sufficient to hold design conversations with FHIR engineers

• Familiarity with large-scale enterprise data environments

A leading consulting organization is seeking a hands-on, GCP-certified AI Architect to design and deliver production-grade agentic pipelines built on Vertex AI. This role operates as a core delivery resource embedded within active engagements, partnering directly with cloud platform teams and client stakeholders. This is a hands-on delivery role (not advisory). The Architect will contribute at the code, architecture, and implementation level from day one and is accountable for delivering production-ready pipelines, agent frameworks, integrations, and security controls.