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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & 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 & 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
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.