AI Solution Architecture

Architect Data & AI Solutions: Design scalable, secure, and resilient architectures for AI, ML, data, and agentic AI solutions on Google Cloud Platform (GCP).

• Drive Strategic Initiatives: Lead efforts in Machine Learning, LLMOps, RAG, and cloud migration projects.
• Technical Leadership: Deliver high-quality, cloud-native solutions using GCP services (BigQuery, Cloud Run, GKE, Vertex AI, etc.) and event-driven patterns.
• Cloud & Platform Integration: Utilize Kubernetes, service mesh, workload identity, and network/security boundaries for robust integration.
• API & Service Design: Implement modern microservice, API, and service integration patterns using tools like Istio and Apigee.
• Governance & Compliance: Ensure architectures adhere to regulatory, risk management, security, and ethical AI standards.
• Stakeholder Collaboration: Work closely with engineering, data science, and business teams to translate requirements into actionable designs.
• Technical Communication: Represent technical direction in forums, communicate complex concepts, and participate in architectural governance.
• Continuous Improvement: Maintain up-to-date, iterative designs aligned with modern engineering and technology standards.

Strong expertise in GCP (and/or Azure) and cloud-native service architecture.

• Deep knowledge of data architectures, Machine Learning, and AI tools.
• Experience with large-scale data migrations and modern ETL/data movement patterns.
• Proven ability to lead architectural design and stakeholder discussions.
• Excellent communication skills for technical forums and governance.

Beneficial Experience:

• Background in banking or financial industry.
• Experience with Vertex AI or similar model lifecycle tools.
• Familiarity with LangChain/LangGraph, RAG patterns, and AI orchestration.
• Exposure to multi-cloud/hybrid environments and enterprise integration/event architecture.