Senior AI Solutions Engineer

JOB DESCRIPTION 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. REQUIRED SKILLS AND EXPERIENCE • 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). NICE TO HAVE SKILLS AND EXPERIENCE • 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 Show more Show less