Multi-Cloud Solutions Architect

About the Company / Team

Oracle Customer Success Services (CSS) helps Tier-1 banking customers design secure, high-performance hybrid cloud solutions connecting OCI with AWS, Microsoft Azure and Google Cloud Platform. The role supports enterprise database modernization and Multi-Agent AI orchestration for mission-critical banking workloads, fraud detection, regulatory compliance and intelligent automation, working with customers, Oracle engineering and cross-functional teams.

Key Responsibilities

• Architect secure, scalable, and resilient multi-cloud solutions integrating OCI with AWS, Azure, and GCP for enterprise banking environments.
• Design enterprise-grade Multi-Agent AI architectures including supervisor-worker models, agent governance, communication protocols, state management, deterministic guardrails, and Human-in-the-Loop (HITL) workflows.
• Lead implementation of Retrieval-Augmented Generation (RAG) and GraphRAG solutions using Oracle AI Vector Search, Select AI, Autonomous Database, and OCI Generative AI services.
• Design secure AI environments utilizing OCI Generative AI, Dedicated AI Clusters, Llama, Cohere, and zero-trust security principles to meet financial industry compliance requirements.
• Architect resilient cross-cloud networking using OCI FastConnect, VPNs, unified identity federation (SAML), and secure data exchange across OCI, AWS Bedrock, and Azure OpenAI environments.
• Lead large-scale enterprise database modernization initiatives involving Oracle RAC, Exadata Cloud Service (ExaCS), Exadata Cloud@Customer (ExaCC), Autonomous Database, Data Guard, and enterprise migration strategies.
• Serve as the highest level of technical escalation for complex customer engagements, providing architectural governance, cloud cost optimization (FinOps), and best practices for AI compute and token consumption.
• Collaborate with customers, Oracle engineering, and cross-functional teams to deliver innovative, secure, and compliant cloud solutions while communicating technical strategies effectively to executive stakeholders.

Career Level - N/A

Qualifications & Skills

Mandatory

• Bachelor’s degree in Computer Science, Information Technology, Engineering or a related discipline.
• 10+ years of overall IT experience and at least 6 years of hands-on experience designing and implementing production Cloud IaaS/PaaS solutions.
• Deep OCI expertise; strong experience with AWS, Microsoft Azure and/or Google Cloud Platform; experience designing hybrid and multi-cloud architectures.
• Strong enterprise networking knowledge, including OCI FastConnect, VPN, identity federation and cloud security.
• Hands-on OCI Generative AI Service, Dedicated AI Clusters, Oracle AI Vector Search, Select AI, Autonomous Database and AutoML expertise.
• Strong understanding of Multi-Agent AI patterns: hierarchical orchestration, supervisor-worker architecture, autonomous reflection, state machines and consensus protocols.
• Experience with orchestration frameworks such as LangGraph, CrewAI, AutoGen and LlamaIndex.
• Advanced database expertise across Oracle RAC, Exadata Cloud Service (ExaCS), Exadata Cloud@Customer (ExaCC), Autonomous Database (ADB/ADW), PostgreSQL, MySQL and Snowflake.
• Strong DevOps and automation skills using Terraform (OCI Provider), Ansible, Kubernetes (OKE), Python and Jenkins or GitLab CI/CD.
• Excellent verbal and written English communication, executive architecture presentation, documentation and customer-facing consulting skills.
• At least two certifications from the listed options: OCI Architect Professional, OCI Generative AI Professional, OCI Multicloud Architect, OCI Migration Architect, AWS Certified Solutions Architect – Professional, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.

Good-to-Have

• Experience with enterprise banking or financial services customers is highly preferred.
• Experience designing AI governance frameworks within regulated industries.
• Knowledge of financial compliance standards including PCI DSS, GDPR, ISO 27001, and banking regulatory requirements.
• Experience implementing Cloud FinOps strategies for AI workloads.
• Exposure to Graph databases, Knowledge Graphs, and GraphRAG architectures.
• Familiarity with enterprise AI governance, responsible AI practices, and model lifecycle management.
• Experience leading customer workshops, architecture reviews, and executive presentations.
• Oracle Consulting or Customer Success Services experience.

Self-Assessment Questions

1. Have I designed and delivered enterprise-grade hybrid or multi-cloud architectures integrating OCI with AWS, Azure, or GCP?
2. Do I possess hands-on experience with Oracle Generative AI, Autonomous Database, Oracle AI Vector Search, or enterprise RAG architectures?
3. Have I architected or implemented Multi-Agent AI systems using frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex?
4. Have I successfully led large-scale Oracle database modernization or migration projects involving RAC, Exadata, Autonomous Database, or Data Guard?
5. Do I have the technical leadership, customer consulting, and executive communication skills required to influence architecture decisions within highly regulated financial institutions?