GCP Certified AI Solutions Architect
Job Summary
Designing and delivering production-grade agentic AI pipelines on Vertex AI, the full-time Sr. AI Solutions Architect - GCP & Agentic Systems will work remotely, collaborating with Google engineers and client architects to build real systems in regulated environments.
Key responsibilities
- Design and build production agentic orchestration layers on Vertex AI using modular agents
- Deliver GCP pipeline infrastructure utilizing Cloud Dataflow, Apache Beam, Airflow, Cloud Functions, and BigQuery
- Lead technical working sessions with client engineering teams and Google engineers, representing delivery expertise
Required qualifications
- Active Google Cloud Professional certification (Cloud Architect, Data Engineer, or ML Engineer)
- Experience in building production Vertex AI agentic pipelines at scale
- Hands-on GCP pipeline engineering experience with Dataflow, Beam, Airflow, and BigQuery
- Experience integrating FHIR Server APIs in healthcare or pharmaceutical environments
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field
COMPLETE JOB DESCRIPTION
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