GCP Solution Architect

Key Responsibilities:

• Design cloud-native, real-time architecture integrating on-prem systems (PI, IOW, LIMS, APM, ERP).
• Architect MCP microservices per source with standardized APIs and event schemas.
• Implement event-driven core using Pub/Sub or Kafka with reliability and replay strategies.
• Lead GenAI agents: Data Analysis, Knowledge (RAG), Expert Feedback, and Orchestrator.
• Choose and implement vector search (pgvector, Vertex AI Matching Engine, etc.).
• Enforce security: IAM, VPC, CMEK, audit logs, DLP, and SSO.
• Define integration workflows (e.g., IOW RBI handoffs, ERP actions).
• Drive observability (metrics, logs, SLOs) and cost modeling.
• Guide delivery: architecture docs, developer mentoring, SME collaboration.

Required Qualifications:

• 10+ years in distributed systems/AI architecture; 3+ years on GCP.
• Expertise in GCP services, event-driven design, and microservices (Cloud Run/GKE).
• Hands-on with GenAI, RAG, embeddings, and LLM integration (OpenAI, Vertex AI).
• Experience with MCP-style adapters and industrial systems (PI, LIMS, APM, ERP).
• Strong security, compliance, and stakeholder communication skills.